Not in the top 1,000 by GitHub stars
Jakeschincariol/seed-skill
11 Claude skills that take your startup from idea to funded: competitor research, investor matching, a business plan, a pitch deck and a closer that books your investor calls.
History
Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.
View weekly changes
seed-closer/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Local scripts
First observation → fde88957238b
No earlier version was observed for comparison.
seed-coach/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Local scripts
First observation → fde88957238b
No earlier version was observed for comparison.
seed-dataroom/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Local scripts
First observation → fde88957238b
No earlier version was observed for comparison.
seed-deck/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Local scripts
First observation → fde88957238b
No earlier version was observed for comparison.
seed-investors/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → fde88957238b
No earlier version was observed for comparison.
seed-market/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Local scripts
First observation → fde88957238b
No earlier version was observed for comparison.
seed-model/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Local scripts
First observation → fde88957238b
No earlier version was observed for comparison.
seed-plan/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Local scripts
First observation → fde88957238b
No earlier version was observed for comparison.
seed-scout/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Network or broad shell
First observation → fde88957238b
No earlier version was observed for comparison.
seed-terms/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Local scripts
First observation → fde88957238b
No earlier version was observed for comparison.
seed-updates/SKILL.md
Week of Nov 2, 2026 · Line counts unavailable
Before Not checked yet → After Local scripts
First observation → fde88957238b
No earlier version was observed for comparison.
View on GitHubAdd to my skills
Verified commit fde88957238bd3bc28e80e1fe0b252a64507b108
git clone --filter=blob:none --no-checkout https://github.com/Jakeschincariol/seed-skill.git .hotskills/jakeschincariol-seed-skill && git -C .hotskills/jakeschincariol-seed-skill checkout --detach fde88957238bd3bc28e80e1fe0b252a64507b108
# Copy each selected skill directory from .hotskills/jakeschincariol-seed-skill into .claude/skills/<skill-name>/43GitHub stars
Not availablestars in 7 days
11skills in this repository
1commit in 30 days
Heat
Insufficient historyNot enough history yet to measure heat. It appears after a few days of data.
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
30-day change not yet available: not enough history.
Individual skills in this repository
- seed-closer
seed-closer - seed-coach
seed-coach - seed-dataroom
seed-dataroom - seed-deck
seed-deck - seed-investors
seed-investors - seed-market
seed-market - seed-model
seed-model - seed-plan
seed-plan - seed-scout
seed-scout - seed-terms
seed-terms - seed-updates
seed-updates
How it works
seed-closer
When your agent uses it
The Closer. Sends personalised outreach emails to investors, manages the conversations and keeps following up until an investor call is booked, and nothing leaves the user's inbox without their yes. Drafts one RFC 5322 .eml per investor from seed/investors.json and a template (a real personal line, the sender's real name and an opt-out line, generic lines refused), shows the batch, records the user's yes word for word, enforces a daily cap of 20, then Claude sends through the user's own Gmail connector where the Allow once card is a second check. Schedules follow-ups on +3 and +7 business days (3 touches at most, never after a reply), sorts replies into interested / question / not now / no / out of office, stops a thread for good on a no, an opt-out or a bounce, writes a valid .ics invite and shows the funnel. Reads seed/config.json and seed/investors.json, writes seed/pipeline.json, seed/outreach/ and seed/calls/. Use when the user says "email the investors", "send the outreach", "follow up with everyone who hasn't replied", "who do I follow up with today", "sort my replies", "book the call", "send her an invite", "how is the raise going", or after /seed-investors ranks the list.
What it loads into context
Frontmatter
334 tokensAlways available to the agent
SKILL.md
3,477 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- The rules it enforces
- Sending: the Gmail-connector loop
- Steps
- Example: the reel
- What it never does
Scripts executed separately
closer.py
Files
../.claude-plugin/marketplace.jsonasset805 bytes../.claude-plugin/plugin.jsonasset656 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytesSKILL.mdcore12,806 bytescloser.pyruns94,158 bytestemplate.txtdoc1,307 bytes
Read SKILL.md
# seed-closer
The Closer does the part of a raise that eats the founder's week: one
personal email per investor, the follow-ups nobody remembers to send, the
replies sorted, and the call on the calendar. It writes everything; it never
sends anything. Claude sends through the user's own Gmail, only after the
user said yes to that exact batch in the chat, and Claude's own "Allow once"
card asks again for every email. All the user has to do is say yes, show up
and pitch. Investors decide; nothing here promises a check.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).
```bash
python3 "${CLAUDE_SKILL_DIR}/closer.py" draft --top 20 # one .eml per investor, status draftedseed-coach
When your agent uses it
Pitch Coach. Rehearses the investor call with you: drills the hard questions investors ask (market, competition, traction, unit economics, team, why now, risks, the ask), tailored to your own numbers from the competitor scout, the financial model, the market size and the investor you are meeting ("Rover has 515,771 ratings. Why will owners switch?"), grades your written answers (a number, specifics, no hedging, under a minute spoken, answer first) and writes a 20-minute plan for a booked first call. Reads seed/competitors.json, model.json, market.json, investors.json, pipeline.json and calls/. Use when the user says "prep me for the call", "practice my pitch", "what will investors ask", "drill me", "grade my answer", "mock investor", "call agenda", or after /seed-closer books a call.
What it loads into context
Frontmatter
233 tokensAlways available to the agent
SKILL.md
1,632 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- How it works
- Steps
- Example: the reel
- What it never does
Scripts executed separately
coach.py
Files
SKILL.mdcore5,949 bytesSKILL.mdcore5,949 bytesSKILL.mdcore5,949 bytesSKILL.mdcore5,949 bytesSKILL.mdcore5,949 bytesSKILL.mdcore5,949 bytesSKILL.mdcore5,949 bytescoach.pyruns24,422 bytesquestions.jsonasset9,203 bytes
Read SKILL.md
# seed-coach
The Pitch Coach gets you ready for the questions that sink first calls. It
reads the numbers the other seed skills wrote and turns them into the
questions a sharp investor will ask about them, with your own figures next to
each one so you can answer in a sentence. Then it grades what you say against
the things investors listen for, and lays out the 20 minutes of a booked
call so you spend them on the story, not on small talk.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).
```bash
python3 "${CLAUDE_SKILL_DIR}/coach.py" drill --n 10 --customers owners --provider walker
python3 "${CLAUDE_SKILL_DIR}/coach.py" drill --investor maya-chen --category "the ask"seed-dataroom
When your agent uses it
Data Room Builder. Assembles the data room investors ask for and tells you what is missing. Lays out the nine standard folders (01 Company, 02 Pitch deck, 03 Financials, 04 Market, 05 Product, 06 Team, 07 Legal, 08 Cap table, 09 Customers), checks the files against a 25-item checklist (present, missing, or stale by the date in the file name or its last change), writes seed/dataroom/INDEX.md describing every file, and lists what to share before a term sheet and what only after one. Flags what must never be in a data room: passwords, keys, ID documents, raw customer lists. It never uploads or shares anything. Use when the user says "build my data room", "what goes in a data room", "what am I missing for diligence", "the investor asked for the data room", "what can I share now", "make an index of my documents", or after a /seed-closer call goes well or /seed-terms reads a term sheet.
What it loads into context
Frontmatter
267 tokensAlways available to the agent
SKILL.md
1,676 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- The checklist
- Rules
- Steps
- Example: the reel
- What it never does
Scripts executed separately
dataroom.py
Files
SKILL.mdcore6,294 bytesSKILL.mdcore6,294 bytesSKILL.mdcore6,294 bytesSKILL.mdcore6,294 bytesSKILL.mdcore6,294 bytesSKILL.mdcore6,294 bytesdataroom.pyruns19,048 bytes
Read SKILL.md
# seed-dataroom
The Data Room Builder gets the documents in order before an investor asks
for them, so the answer to "can you send the data room?" is a link the same
day, not a week of digging. It sets up the standard folders, checks what is
there against the list investors work through, warns when a file is too old
to send (a cap table from last quarter, metrics from June), and writes an
index so the investor can find everything. It also keeps the sequence
straight: the deck and the model go out after a first meeting; the cap table,
contracts and bank statements wait for a signed term sheet.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).
```bashseed-deck
When your agent uses it
Pitch Deck Designer. Turns the business plan into a 10-slide pitch deck in the order investors expect: title, problem, solution, market, competition, business model, go-to-market, team, financials, the ask. Writes ONE self-contained 16:9 HTML file (inline CSS, no fonts or scripts from the web, arrow-key navigation, a print stylesheet that saves to PDF one slide a page) in your brand colours, with real charts drawn from your numbers. Lints it: 35 words or fewer a slide, one idea a slide, a use of funds that adds up to the raise, and every number on a slide traced to your plan, model, market or competitor files. Reads seed/plan.json, writes seed/deck.html. Use when the user says "make my pitch deck", "turn the plan into a deck", "build the slides", "check my deck", "how many words a slide", or after /seed-plan.
What it loads into context
Frontmatter
247 tokensAlways available to the agent
SKILL.md
2,004 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- The ten slides
- The lint
- Steps
- Example: the reel
- Rules
Scripts executed separately
deck.py
Files
SKILL.mdcore7,141 bytesSKILL.mdcore7,141 bytesSKILL.mdcore7,141 bytesSKILL.mdcore7,141 bytesSKILL.mdcore7,141 bytesdeck.pyruns42,702 bytes
Read SKILL.md
# seed-deck
The Pitch Deck Designer turns the plan into the ten slides a partner flips
through in three minutes. Each slide carries one idea in a line or two, and
the numbers come from the files, not from memory: the competitors' weak
points from their own reviews, the market from sourced inputs, the unit
economics and the three years of revenue from the model, the use of funds
from the raise. The deck is a single HTML file you can open anywhere, present
with the arrow keys and print to PDF. A good deck earns a meeting; it does
not guarantee a check. Investors decide.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).
```bashseed-investors
When your agent uses it
Investor Finder. Researches the best investors for your idea from public sources only (the firm's own site, public profiles found through web search, SEC EDGAR Form D filings, the press) and ranks them by fit, 0 to 100, with the reasons and a source link on every row: stage, sectors, check size against your ask, geography, how recent their last relevant deal is, and a warm intro. Reads SEC Form D filings to see who in your space raised, how much and when. Writes seed/investors.json for the Closer and the Pitch Coach. Use when the user says "find investors", "who should I pitch", "which VCs invest in pet tech", "build my investor list", "rank these investors", "who funded companies like mine", "Form D", or after /seed-plan, before /seed-closer.
What it loads into context
Frontmatter
226 tokensAlways available to the agent
SKILL.md
2,278 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- How fit works
- Rules
- Steps
- Example: the reel
- What it never does
Scripts executed separately
investors.py
Files
SKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesSKILL.mdcore8,496 bytesinvestors.example.csvasset2,407 bytesinvestors.pyruns44,974 bytes
Read SKILL.md
# seed-investors
The Investor Finder builds the list you will actually email. A good list is
short and specific: people who invest at your stage, in your space, with a
check that fits your round, who did a relevant deal recently. Claude does the
research on the open web, writes one row per investor with the links it
read, and this tool ranks the rows the same way every time and says why.
Every fact keeps its source, so you can check it before you lean on it.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).
```bash
python3 "${CLAUDE_SKILL_DIR}/investors.py" formd --q "pet care" --since 2025-01-01 # who raised, how much, when
python3 "${CLAUDE_SKILL_DIR}/investors.py" import seed/research.csv # rows from public researchseed-market
When your agent uses it
Market Sizer. Sizes your market the way investors check it: TAM top-down (population x share x spend a year), SAM bottom-up (customers you can reach x purchases a year x price) and SOM (the share of SAM you can win in N years, with a stated reason). Every input carries a source (a URL, a named publication, or an assumption said out loud), vague sources are refused, and it refuses any result that breaks SOM <= SAM <= TAM. Records sourced facts the deck quotes. Writes seed/market.json for the plan, the deck and the pitch coach. Use when the user says "how big is my market", "TAM SAM SOM", "size the market", "market size slide", "is this market big enough", or after /seed-scout, before /seed-model and /seed-plan.
What it loads into context
Frontmatter
217 tokensAlways available to the agent
SKILL.md
1,752 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- The method and the rules
- Steps
- Example: the reel
- What it never does
Scripts executed separately
market.py
Files
SKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesSKILL.mdcore6,296 bytesmarket.pyruns21,130 bytes
Read SKILL.md
# seed-market
The Market Sizer turns "a huge market" into three numbers an investor can
check. The total market (TAM) is everyone who could buy, top-down from
public data. The market you can serve (SAM) is built bottom-up from the
customers you can actually reach, how often they buy and your price. The
share you can win (SOM) is a slice of SAM over a few years, with the reason
written next to it. Every input says where it came from, and the guesses are
labelled as guesses so nobody mistakes them for facts.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).
```bash
python3 "${CLAUDE_SKILL_DIR}/market.py" top-down --population 71M --population-name "US homes with a dog" \seed-model
When your agent uses it
Financial Modeler. Builds the 36-month financial model behind your raise: customers, orders, GMV, revenue (GMV x your take rate), contribution, payroll, marketing (new customers x CAC), opex, net and cash, month by month, then the numbers investors ask for: runway, the breakeven month, peak burn, revenue for years 1 to 3, and the unit economics (contribution per order, CAC payback, LTV:CAC). Checks that the use of funds adds up to the raise and exports a CSV. Reads seed/assumptions.json, writes seed/model.json for the business plan, the deck and the pitch coach. Use when the user says "build my financial model", "how long will the money last", "what's my runway", "when do we break even", "3-year projections", "use of funds", "how much should I raise", "unit economics", "burn rate", or before /seed-plan and /seed-deck.
What it loads into context
Frontmatter
249 tokensAlways available to the agent
SKILL.md
2,232 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- The assumptions
- The method
- Steps
- Example: the reel
- Rules
Scripts executed separately
model.py
Files
SKILL.mdcore8,087 bytesSKILL.mdcore8,087 bytesSKILL.mdcore8,087 bytesSKILL.mdcore8,087 bytesSKILL.mdcore8,087 bytesSKILL.mdcore8,087 bytesSKILL.mdcore8,087 bytesSKILL.mdcore8,087 bytesassumptions.example.jsonasset1,964 bytesmodel.pyruns26,788 bytes
Read SKILL.md
# seed-model
The Financial Modeler turns a handful of assumptions into the 36 months an
investor will ask about. You say what a walk (or an order, or a seat) costs,
how much of it you keep, how many customers you win and lose, who you hire
and when, and how much you are raising. It does the arithmetic, every month,
to the cent, and tells you when the money runs out, when the business pays
for itself and what each customer is worth. Every number traces back to an
assumption you can change and defend. It is a plan, not a forecast: the
model is only as honest as its inputs.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).
```bashseed-plan
When your agent uses it
Business Planner. Turns your idea into a business plan investors can read: the nine sections (executive summary, problem, solution, market, competition, business model, go-to-market, financial plan, use of funds), written with you, with the numbers pulled from the other seed skills' files: TAM, SAM and SOM from seed/market.json, competitors' weak points from seed/competitors.json, revenue, breakeven and runway from seed/model.json. Computes the unit economics (take rate, contribution per order, CAC payback, LTV:CAC) and flags empty sections and numbers that disagree between files. Writes seed/config.json, seed/plan.json and seed/plan.md. Use when the user says "turn my idea into a business plan", "write my business plan", "I have a startup idea", "help me plan my startup", "check my plan", "unit economics", or before /seed-deck.
What it loads into context
Frontmatter
237 tokensAlways available to the agent
SKILL.md
2,061 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- The unit economics
- The checks
- Steps
- Example: the reel
- Rules
Scripts executed separately
plan.py
Files
SKILL.mdcore7,585 bytesSKILL.mdcore7,585 bytesSKILL.mdcore7,585 bytesSKILL.mdcore7,585 bytesconfig.example.jsonasset928 bytesplan.pyruns42,273 bytes
Read SKILL.md
# seed-plan
The Business Planner turns an idea into the document behind a raise. It sets
up the startup's shared config (name, one-liner, the raise, the founder), lays
out the nine sections every investor expects, and, once Claude and the
founder have written them, stitches in the numbers the other skills found:
the market size, the competitors' weak points, the model's revenue, breakeven
and runway. It works out the unit economics itself and checks the whole thing
for holes: an empty section, a raise that is $1.5M in one file and $1.2M in
another, a use of funds that does not add up, a market share bigger than the
market. A plan is a way to think clearly, not a promise of funding: the pack
does the work, investors decide.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).seed-scout
When your agent uses it
Competitor Scout. Finds the weak points of your competitors in their own App Store reviews: searches the App Store for the apps people already use for your idea, reads up to the 500 most recent reviews of each, sorts the one- and two-star ones into themes (fees and pricing, cancellations and no-shows, support, bugs, trust and safety, payments and refunds, availability), and names each rival's weak point with the evidence ("106 of 341 recent 1-2 star reviews mention fees"). Writes seed/reviews/ and seed/competitors.json for the plan, the deck and the pitch coach. Use when the user says "who are my competitors", "find my competitors' weak points", "what do people hate about Rover", "read their reviews", "scout the competition", "competitor research", "why do customers leave X", or at the start of a raise, before /seed-market.
What it loads into context
Frontmatter
239 tokensAlways available to the agent
SKILL.md
2,053 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- How the themes and the weak point work
- Steps
- Example: the reel
- Rules
- What it never does
Scripts executed separately
scout.py
Files
SKILL.mdcore7,654 bytesSKILL.mdcore7,654 bytesSKILL.mdcore7,654 bytesSKILL.mdcore7,654 bytesSKILL.mdcore7,654 bytesSKILL.mdcore7,654 bytesSKILL.mdcore7,654 bytesSKILL.mdcore7,654 bytesSKILL.mdcore7,654 bytesSKILL.mdcore7,654 bytesscout.pyruns33,595 bytes
Read SKILL.md
# seed-scout
The Competitor Scout finds the gap you can win in. People who already pay a
rival tell the App Store exactly what is wrong with it, in public, every day.
This skill reads those reviews in bulk, counts what the angry ones complain
about, and turns that into one plain sentence per rival that a business plan
and a pitch deck can stand on. It reports what reviewers wrote and how often.
It never makes a complaint up, and it never calls a rival bad in general.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).
```bash
python3 "${CLAUDE_SKILL_DIR}/scout.py" find "dog walking" # the apps people find for the idea
python3 "${CLAUDE_SKILL_DIR}/scout.py" reviews 547320928 --write # 500 most recent -> seed/reviews/seed-terms
When your agent uses it
Term Sheet Reader. Reads a SAFE or a term sheet in plain English, does the dilution math and flags the clauses to ask a lawyer about. Works out what a post-money SAFE owns at its cap and what it converts into at a priced round (cap price vs discount price, whichever is lower), builds a priced round's cap table with the option-pool shuffle (price per share, new shares, the pool top-up, the effective pre-money, everyone's dilution), and scans a pasted term sheet for the traps: liquidation preference over 1x, participating preferred, full ratchet, redemption, cumulative dividends, board control, operating vetoes, pay-to-play, drag-along, long no-shops, exploding deadlines, founder vesting resets, super pro rata and MFN, each with a severity and a question for the lawyer. Not legal advice. Writes seed/terms/ with --write. Use when the user says "read this term sheet", "is this a good deal", "what does this SAFE mean", "how much do I own after", "how much dilution", "what's the option pool shuffle", "what is a post-money cap", "any red flags in this", or when an investor sends terms after a /seed-closer call.
What it loads into context
Frontmatter
307 tokensAlways available to the agent
SKILL.md
2,046 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- The method
- Steps
- Example: the reel
- What it never does
Scripts executed separately
terms.py
Files
SKILL.mdcore7,559 bytesSKILL.mdcore7,559 bytesSKILL.mdcore7,559 bytesSKILL.mdcore7,559 bytesSKILL.mdcore7,559 bytesSKILL.mdcore7,559 bytesSKILL.mdcore7,559 bytesSKILL.mdcore7,559 bytesterms.pyruns45,042 bytes
Read SKILL.md
# seed-terms
The Term Sheet Reader is for the day an investor says yes and sends paper.
It does two jobs. First the arithmetic: what a SAFE really owns, what a
priced round does to the cap table, and how much of "the valuation" is
quietly paid by the founders through a bigger option pool. Then the reading:
it walks through the document and flags the clauses founders most often
regret, in plain words, with the exact question to put to a lawyer.
**Not legal advice, and not investment advice.** It is arithmetic and a
keyword reader. A startup lawyer should read every document before the user
signs anything, and the scanner only flags clauses it knows.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).seed-updates
When your agent uses it
Investor Updates. Writes the monthly investor update that keeps investors warm: a TL;DR, every metric with its month-over-month growth, highlights, lowlights, the asks, and the runway worked out from your cash and your average net burn. A short "prospects" version goes to warm investors who said "not now": the headline numbers, two highlights, the raise and an opt-out line, with no cash or runway. Reads seed/metrics.json (and seed/config.json for the founder and the raise), writes seed/updates/YYYY-MM.md. Never sends anything on its own. Use when the user says "write my investor update", "monthly update", "update my investors", "keep investors warm", "follow up with investors who said not now", "what's my runway", "MoM growth", or at the start of each month.
What it loads into context
Frontmatter
219 tokensAlways available to the agent
SKILL.md
1,946 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- What it reads and writes
- The method
- Steps
- Example: the reel
- Rules
Scripts executed separately
update.py
Files
SKILL.mdcore7,042 bytesSKILL.mdcore7,042 bytesSKILL.mdcore7,042 bytesSKILL.mdcore7,042 bytesSKILL.mdcore7,042 bytesSKILL.mdcore7,042 bytesSKILL.mdcore7,042 bytesmetrics.example.jsonasset2,302 bytesupdate.pyruns22,231 bytes
Read SKILL.md
# seed-updates
Investor Updates is the habit that makes the next round easier. Once a month,
a short, honest email: what the numbers did, what went well, what did not,
what you need, and how long the money lasts. Investors who already backed you
can help when they know the asks; investors who said "not now" watch the line
go up and come back. This skill keeps the numbers in one file, works out the
growth and the runway exactly, and writes the update in the standard shape.
It writes. It does not send: the founder reads it and says yes first.
`${CLAUDE_SKILL_DIR}` below is this skill's folder (where this SKILL.md lives).
```bash
python3 "${CLAUDE_SKILL_DIR}/update.py" init # seed/metrics.json from the exampleSkills included
- seed-closer
- seed-coach
- seed-dataroom
- seed-deck
- seed-investors
- seed-market
- seed-model
- seed-plan
- seed-scout
- seed-terms
- seed-updates
Repository facts
- License
- MIT
- Created
- Nov 1, 2026
- Last pushed
- Nov 1, 2026
- Forks
- 5
- Open issues
- 0
- Project activity
- Active
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 6, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 85 notes
seed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-closer/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-coach/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-coach/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-coach/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-coach/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-coach/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-coach/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedseed-dataroom/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 2 dangerous shell commandsin 1 file: seed-model/model.py:170
- 62 network referencesin 7 files: seed-scout/scout.py:13 seed-investors/investors.py:31 seed-closer/closer.py:18 and 4 more
- No hidden or obfuscated text
- No instruction overrides
- 11 executable scriptsin 11 files: seed-closer/closer.py:1 seed-coach/coach.py:1 seed-dataroom/dataroom.py:1 and 8 more
- 1 reference to secretsin 1 file: seed-investors/investors.py:544
- No requests to vote in Hot
Show all 76 signals by file
.claude-plugin/marketplace.json
- Network accessline 1
{ "$schema": "https://anthropic.com/claude-code/marketplace.schema.json", - Network accessline 2
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json", - Network accessline 5
"owner": { "name": "Jake Schincariol", "url": "https://opusjake.ai" - Network accessline 6
"name": "Jake Schincariol", "url": "https://opusjake.ai" }, - Network accessline 7
"url": "https://opusjake.ai" - Network accessline 13
"source": "./", "category": "productivity", "homepage": "https://github.com/Jakeschincariol/seed-skill" - Network accessline 14
"category": "productivity", "homepage": "https://github.com/Jakeschincariol/seed-skill" } - Network accessline 15
"homepage": "https://github.com/Jakeschincariol/seed-skill"
.claude-plugin/plugin.json
- Network accessline 5
"author": { "name": "Jake Schincariol", "url": "https://opusjake.ai" - Network accessline 6
"name": "Jake Schincariol", "url": "https://opusjake.ai" }, - Network accessline 7
"url": "https://opusjake.ai" - Network accessline 8
}, "homepage": "https://github.com/Jakeschincariol/seed-skill", "repository": "https://github.com/Jakeschincariol/seed-skill", - Network accessline 9
"homepage": "https://github.com/Jakeschincariol/seed-skill", - Network accessline 10
"repository": "https://github.com/Jakeschincariol/seed-skill",
seed-closer/SKILL.md
- Network accessline 41
python3 "${CLAUDE_SKILL_DIR}/closer.py" log --id maya-chen --event sent --thread-id 18c2f0a1 python3 "${CLAUDE_SKILL_DIR}/closer.py" due --today 2026-10-29 # who gets a follow-up today python3 "${CLAUDE_SKILL_DIR}/closer.py" followup --due - Network accessline 42
python3 "${CLAUDE_SKILL_DIR}/closer.py" due --today 2026-10-29 # who gets a follow-up today python3 "${CLAUDE_SKILL_DIR}/closer.py" followup --due --extra "Here's our 60-second demo: https://..." python3 "${CLAUDE_SKILL_DIR}/closer.py" inb - Network accessline 43
python3 "${CLAUDE_SKILL_DIR}/closer.py" followup --due --extra "Here's our 60-second demo: https://..." - Network accessline 44
python3 "${CLAUDE_SKILL_DIR}/closer.py" inbox --file replies.json # sort replies, then --write python3 "${CLAUDE_SKILL_DIR}/closer.py" reply --id maya-chen --body-file answer.txt python3 "${CLAUDE_SKILL_DIR}/closer.py" book --id - Network accessline 45
python3 "${CLAUDE_SKILL_DIR}/closer.py" reply --id maya-chen --body-file answer.txt python3 "${CLAUDE_SKILL_DIR}/closer.py" book --id maya-chen --start "2026-11-05 10:00" --tz America/New_York --link https://meet.google.com/abc-defg-hij pyt - Network accessline 46
python3 "${CLAUDE_SKILL_DIR}/closer.py" book --id maya-chen --start "2026-11-05 10:00" --tz America/New_York --link https://meet.google.com/abc-defg-hij - Network accessline 195
closer.py book --id maya-chen --start "2026-11-05 10:00" --tz America/New_York --link https://meet.google.com/abc-defg-hij
seed-closer/closer.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 18
python3 closer.py reply --id maya-chen --body-file answer.txt python3 closer.py book --id maya-chen --start "2026-11-05 10:00" --tz America/New_York \\ --link https://meet.google.com/abc-defg-hij - Network accessline 19
python3 closer.py book --id maya-chen --start "2026-11-05 10:00" --tz America/New_York \ --link https://meet.google.com/abc-defg-hij - Network accessline 20
--link https://meet.google.com/abc-defg-hij - Network accessline 1759
end = start + datetime.timedelta(minutes=minutes) local_end = local + datetime.timedelta(minutes=minutes) if a.link and not re.match(r"^https://\S+$", a.link): - Network accessline 1760
local_end = local + datetime.timedelta(minutes=minutes) if a.link and not re.match(r"^https://\S+$", a.link): raise CloserError("--link must be a full https:// video link (Google Meet, Zoom, ...)") - Network accessline 1761
if a.link and not re.match(r"^https://\S+$", a.link): - Network accessline 1762
raise CloserError("--link must be a full https:// video link (Google Meet, Zoom, ...)") if not a.link and not a.location: raise CloserError("say where: --link https://meet.google.com/... (or --location \"Phone: ...\")") - Network accessline 1763
if not a.link and not a.location: raise CloserError("say where: --link https://meet.google.com/... (or --location \"Phone: ...\")") where = a.link or " ".join(a.location.split()) - Network accessline 1764
raise CloserError("say where: --link https://meet.google.com/... (or --location \"Phone: ...\")")
seed-coach/coach.py
- Executable scriptline 1
#!/usr/bin/env python3
seed-dataroom/dataroom.py
- Executable scriptline 1
#!/usr/bin/env python3
seed-deck/deck.py
- Executable scriptline 1
#!/usr/bin/env python3
seed-investors/investors.example.csv
- Network accessline 1
name,firm,role,email,stage,check,sectors,geo,last_deal,last_deal_date,sources,warm_intro,personal_line,notes Maya Chen,Northlight Ventures,Partner,maya@northlight.example,pre-seed; seed,250K-1M,pet care; consumer marketplaces,US,led the sec - Network accessline 2
Maya Chen,Northlight Ventures,Partner,maya@northlight.example,pre-seed; seed,250K-1M,pet care; consumer marketplaces,US,led the second of her two pet-care seed rounds,2026-04-13,https://northlight.example/team/maya-chen https://northlight.e - Network accessline 3
Daniel Okafor,Harbor Seed Fund,General Partner,daniel@harborseed.example,seed,100K-500K,local services; marketplaces; gig economy,US,backed a home-services marketplace at seed,2026-06-28,https://harborseed.example/team https://press.example - Network accessline 4
Priya Raman,Kite Hill Capital,Principal,priya@kitehill.example,seed; series a,500K-2M,consumer subscriptions; pet care,US,wrote about hidden fees in pet apps and joined a pet-health seed round,2026-04-09,https://kitehill.example/team/priya- - Network accessline 5
Sam Whitaker,Angel investor,"Ex-founder, pet tech",sam@whitaker.example,pre-seed; seed,25K-100K,pet care; consumer,US,angel check into a dog-food startup after selling his pet-supplies company,2026-01-09,https://whitaker.example/about https - Network accessline 6
Elena Brooks,Bluebell Ventures,Partner,elena@bluebell.example,seed,250K-750K,marketplaces; local services,US,led a seed round in a local cleaning marketplace,2025-10-01,https://bluebell.example/thesis/trust-in-local-services,no,"Your thesis - Network accessline 7
Marcus Lee,Copperline VC,Associate,marcus@copperline.example,seed,100K-400K,consumer; pet care,US,two dog-care brands in the portfolio; the latest closed its seed,2025-07-03,https://copperline.example/portfolio,no,"With two dog-care brands
seed-investors/investors.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 31
SEC EDGAR (formd): full-text search for Form D, https://efts.sec.gov/LATEST/search-index, then each - Network accessline 58
EFTS = "https://efts.sec.gov/LATEST/search-index?%s" - Network accessline 59
ARCHIVE = "https://www.sec.gov/Archives/edgar/data/%d/%s/%s" PAGE = 100 # efts returns 100 hits a page PAUSE = 0.2 # SEC allows 10 requests a second; stay far under it - Network accessline 314
bad = [s for s in sources if not URL.match(s)] if bad: raise InvError("%s: a source must be a public URL (https://...), not %r" % (label, bad[0]), 1) - Network accessline 315
if bad: raise InvError("%s: a source must be a public URL (https://...), not %r" % (label, bad[0]), 1) if not sources: - Network accessline 316
raise InvError("%s: a source must be a public URL (https://...), not %r" % (label, bad[0]), 1) - Access to secretsline 544
[Credential-related source omitted] - Network accessline 574
time.sleep(self.pause - gap) self._last = time.time() req = urllib.request.Request(url, headers={"User-Agent": self.ua, "Accept-Encoding": "gzip"}) - Network accessline 575
self._last = time.time() req = urllib.request.Request(url, headers={"User-Agent": self.ua, "Accept-Encoding": "gzip"}) try: - Network accessline 576
req = urllib.request.Request(url, headers={"User-Agent": self.ua, "Accept-Encoding": "gzip"}) - Network accessline 577
try: with urllib.request.urlopen(req, timeout=TIMEOUT) as r: raw = r.read() - Network accessline 578
with urllib.request.urlopen(req, timeout=TIMEOUT) as r:
seed-market/market.py
- Executable scriptline 1
#!/usr/bin/env python3
seed-model/model.py
seed-plan/plan.py
- Executable scriptline 1
#!/usr/bin/env python3
seed-scout/scout.py
- Executable scriptline 1
#!/usr/bin/env python3 - Network accessline 13
Sources (free, public, not an official API, so they can change or slow down): - iTunes Search API https://itunes.apple.com/search?term=...&media=software&entity=software - Network accessline 14
- iTunes Search API https://itunes.apple.com/search?term=...&media=software&entity=software - Network accessline 15
- iTunes Lookup API https://itunes.apple.com/lookup?id=APP_ID - Network accessline 16
- customer-reviews RSS https://itunes.apple.com/us/rss/customerreviews/page=N/id=APP_ID/sortby=mostrecent/json - Network accessline 58
UA = "seed-skill/1.0 (+https://github.com/Jakeschincariol/seed-skill)" - Network accessline 59
SEARCH = "https://itunes.apple.com/search?%s" - Network accessline 60
LOOKUP = "https://itunes.apple.com/lookup?id=%s&country=%s" - Network accessline 61
RSS = "https://itunes.apple.com/%s/rss/customerreviews/page=%d/id=%s/sortby=mostrecent/json" - Network accessline 182
time.sleep(self.pause - gap) self._last = time.time() req = urllib.request.Request(url, headers={"User-Agent": UA, "Accept": "application/json", - Network accessline 183
self._last = time.time() req = urllib.request.Request(url, headers={"User-Agent": UA, "Accept": "application/json", "Accept-Encoding": "gzip"}) - Network accessline 184
req = urllib.request.Request(url, headers={"User-Agent": UA, "Accept": "application/json", - Network accessline 185
"Accept-Encoding": "gzip"}) try: with urllib.request.urlopen(req, timeout=TIMEOUT) as r: - Network accessline 186
try: with urllib.request.urlopen(req, timeout=TIMEOUT) as r: return decode(r.read()) - Network accessline 187
with urllib.request.urlopen(req, timeout=TIMEOUT) as r:
seed-terms/terms.py
- Executable scriptline 1
#!/usr/bin/env python3
seed-updates/update.py
- Executable scriptline 1
#!/usr/bin/env python3
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Declared and executed: 2 facts
- Contacts github.com, which SKILL.md, the README and the plugin manifest do not mentionseed-scout/scout.py:58High confidence
- Contacts itunes.apple.com, which SKILL.md, the README and the plugin manifest do not mentionseed-scout/scout.py:59High confidence
Signal confidence: 55 facts
- Network access in code of the SKILL.mdseed-closer/SKILL.md:41High confidence
- Network access in code of the SKILL.mdseed-closer/SKILL.md:42High confidence
- Network access in code of the SKILL.mdseed-closer/SKILL.md:43High confidence
- Network access in code of the SKILL.mdseed-closer/SKILL.md:44High confidence
- Network access in code of the SKILL.mdseed-closer/SKILL.md:45High confidence
- Network access in code of the SKILL.mdseed-closer/SKILL.md:46High confidence
- Network access in code of the SKILL.mdseed-closer/SKILL.md:195High confidence
- Executable script in code of a file that runsseed-closer/closer.py:1High confidence
- Network access in prose of a file that runsseed-closer/closer.py:18Low confidence
- Network access in prose of a file that runsseed-closer/closer.py:19Low confidence
- Network access in prose of a file that runsseed-closer/closer.py:20Low confidence
- Network access in code of a file that runsseed-closer/closer.py:1759High confidence
- Network access in code of a file that runsseed-closer/closer.py:1760High confidence
- Network access in code of a file that runsseed-closer/closer.py:1761High confidence
- Network access in code of a file that runsseed-closer/closer.py:1762High confidence
- Network access in code of a file that runsseed-closer/closer.py:1763High confidence
- Network access in code of a file that runsseed-closer/closer.py:1764High confidence
- Executable script in code of a file that runsseed-coach/coach.py:1High confidence
- Executable script in code of a file that runsseed-dataroom/dataroom.py:1High confidence
- Executable script in code of a file that runsseed-deck/deck.py:1High confidence
- Executable script in code of a file that runsseed-investors/investors.py:1High confidence
- Network access in prose of a file that runsseed-investors/investors.py:31Low confidence
- Network access in code of a file that runsseed-investors/investors.py:58High confidence
- Network access in code of a file that runsseed-investors/investors.py:59High confidence
- Network access in code of a file that runsseed-investors/investors.py:314High confidence
- Network access in code of a file that runsseed-investors/investors.py:315High confidence
- Network access in code of a file that runsseed-investors/investors.py:316High confidence
- Access to secrets in code of a file that runs: a variable, placeholder or call, not a stored valueseed-investors/investors.py:544Low confidence
- Network access in code of a file that runsseed-investors/investors.py:574High confidence
- Network access in code of a file that runsseed-investors/investors.py:575High confidence
- Network access in code of a file that runsseed-investors/investors.py:576High confidence
- Network access in code of a file that runsseed-investors/investors.py:577High confidence
- Network access in code of a file that runsseed-investors/investors.py:578High confidence
- Executable script in code of a file that runsseed-market/market.py:1High confidence
- Executable script in code of a file that runsseed-model/model.py:1High confidence
- Dangerous shell operation in code of a file that runsseed-model/model.py:170High confidence
- Dangerous shell operation in code of a file that runsseed-model/model.py:171High confidence
- Executable script in code of a file that runsseed-plan/plan.py:1High confidence
- Executable script in code of a file that runsseed-scout/scout.py:1High confidence
- Network access in prose of a file that runsseed-scout/scout.py:13Low confidence
- Network access in prose of a file that runsseed-scout/scout.py:14Low confidence
- Network access in prose of a file that runsseed-scout/scout.py:15Low confidence
- Network access in prose of a file that runsseed-scout/scout.py:16Low confidence
- Network access in code of a file that runsseed-scout/scout.py:58High confidence
- Network access in code of a file that runsseed-scout/scout.py:59High confidence
- Network access in code of a file that runsseed-scout/scout.py:60High confidence
- Network access in code of a file that runsseed-scout/scout.py:61High confidence
- Network access in code of a file that runsseed-scout/scout.py:182High confidence
- Network access in code of a file that runsseed-scout/scout.py:183High confidence
- Network access in code of a file that runsseed-scout/scout.py:184High confidence
and 5 more
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Manifest .claude-plugin/marketplace.json | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md seed-closer/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md seed-closer/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md seed-closer/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md seed-closer/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md seed-closer/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.
