Individual skill

write-outreach-reply-reader

Step of the write-outreach playbook: sorts outreach replies by type, matches each to its prospect row, sets that person's status and keeps useful exact words. Run write-outreach instead; not for direct use.

skills/marketing/write-outreach-reply-reader/SKILL.md

Read pinned source

Source commit df8298140d434a6363de0c265eb6af2e571d97a5

What was checked

Matches the observed repository HEAD
Yes
Scanner rules are current
No
Repository scan complete
No
Skill scan complete
No
Observed behavior
Not checked yet
Last checked
Nov 11, 2026

These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.

Install this skill

Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.

An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.

Repository context

Repository stars (not skill ratings)
1,315
Repository last updated
Nov 6, 2026
License
MIT

Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.

Files and excerpt

File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.

Browse files
Read excerpt

# reply-reader

**Reads:** the replies the marketer pasted or uploaded; `research/audience/ledger.csv`; the pack the replies answer (`outreach/<D>-<slug>/pack.md`); [`../write-outreach/references/replies-and-objections.md`](../write-outreach/references/replies-and-objections.md).

**Does:**
1. For each reply: the category (`interested · send-info · question · timing · using-rival · price · wrong-person · not-interested · how-did-you-get-this · no-show · stop · angry · out-of-office · bounce`), which touch it answered, and the person's exact words that matter (an objection, a pain phrase, a named rival, a date).
2. Match to the ledger row by email, then profile URL, then name + root domain (outcomes-ledger's keys). Unmatched replies are shown back, never guessed onto a row — a `stop`, `angry` or `bounce` from an unknown address gets a suppression-only row holding just its `key_hash`, the reason and the date (outcomes-ledger § Suppression without personal data); keeping the raw address needs the marketer's yes. The matched rows' `sequence_id` tells which pack the replies belong to.
3. The status it gives (replies-and-objections.md table): `replied`, `meeting`, `not-a-fit`, `unsubscribed`, `do-not-contact`, `bounced` — and `recontact_after` for `timing`. `stop`, `angry` and `bounce` are permanent suppressions.
4. One reply → hand back for the draft answer. A batch → counts by category, by touch and by segment for reading-results.md.
5. Pain phrases worth keeping → a request line in this pack's `results-working.md` (`Quote needed: for research-audience · <phrase, segment, date> · return to: outreach/<D>-<slug>/results-working.md`), with no name or email. Unnamed referrals → `Find needed:` lines there too.

**Writes:** the ledger through the `outcomes-ledger` skill (`../outcomes-ledger/SKILL.md`) (`entity: person`, statuses only from the replies the marketer gave — never inferred), and the category counts.

**Rules:** never mark anyone `contacted` or `replied` on inference; never draft a pitch to a `stop` or `angry` reply; no names, emails or reply text in the brand brain — counts and anonymised phrases only.
Back to top