#670 by GitHub stars
https-deeplearning-ai/sc-agent-skills-files
Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendation
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
L1-partI/skill/analyzing-marketing-campaign/SKILL.md
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L3/brand_guidelines_skill/craftedwell-brand/SKILL.md
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L4/custom_skills/analyzing-time-series/SKILL.md
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L4/custom_skills/generating-practice-questions/SKILL.md
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L6/.claude/skills/adding-cli-command/SKILL.md
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L6/.claude/skills/generating-cli-tests/SKILL.md
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L6/.claude/skills/reviewing-cli-command/SKILL.md
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L7/.claude/skills/learning-a-tool/SKILL.md
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Heat
3.8- Star growth, last 7 daysAhead of 60% of tracked repositories
- Star growth, last 24 hoursAhead of 69% of tracked repositories
- Rank movement, last 7 daysAhead of 13% of tracked repositories
- Commits, last 30 daysAhead of 0% of tracked repositories
- Accounts asking about it through MCP, last 7 daysNot available
- Hot votes this weekAhead of 0% of tracked repositories
Heat never changes the order by stars, and sponsorship never touches it. How heat works
Stars over time
Individual skills in this repository
- analyzing-marketing-campaign
L1-partI/skill/analyzing-marketing-campaign - craftedwell-brand
L3/brand_guidelines_skill/craftedwell-brand - analyzing-marketing-campaign
L3/updated_marketing_skill/analyzing-marketing-campaign - analyzing-time-series
L4/custom_skills/analyzing-time-series - generating-practice-questions
L4/custom_skills/generating-practice-questions - analyzing-time-series
L5/custom_skills/analyzing-time-series - generating-practice-questions
L5/custom_skills/generating-practice-questions - adding-cli-command
L6/.claude/skills/adding-cli-command - generating-cli-tests
L6/.claude/skills/generating-cli-tests - reviewing-cli-command
L6/.claude/skills/reviewing-cli-command - learning-a-tool
L7/.claude/skills/learning-a-tool
How it works
analyzing-marketing-campaign
When your agent uses it
Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
735 tokensWhen the skill is activated
Reference documents
1,141 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Input Requirements
- Data Quality Check
- Funnel Analysis
- Efficiency Analysis
- Output Format
- Budget Reallocation
Files
SKILL.mdcore3,092 bytesreferences/budget_reallocation_rules.mddoc4,256 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubcraftedwell-brand
When your agent uses it
CraftedWell brand guidelines for presentations and documents. Use this skill whenever creating or styling documents (docx, pdf) or presentations (pptx) for CraftedWell. Apply warm, artisanal aesthetic with chocolate/caramel color palette, Georgia headings, and Arial body text.
What it loads into context
Frontmatter
63 tokensAlways available to the agent
SKILL.md
1,483 tokensWhen the skill is activated
Reference documents
1,326 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Quick Reference
- Document Creation (docx)
- Presentation Creation (pptx)
- Tables (All Formats)
Files
SKILL.mdcore5,178 bytesassets/logo-horizontal.pngasset85,178 bytesassets/logo-primary.pngasset99,354 bytesassets/logo-reversed.pngasset74,570 bytesreferences/brand-guide.mddoc4,676 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubanalyzing-marketing-campaign
When your agent uses it
Analyze weekly marketing campaign performance data across channels. Use when analyzing multi-channel digital marketing data to calculate funnel metrics (CTR, CVR) and compare to benchmarks, compute cost and revenue efficiency metrics (ROAS, CPA, Net Profit), or get budget reallocation recommendations based on performance rules.
What it loads into context
Frontmatter
68 tokensAlways available to the agent
SKILL.md
945 tokensWhen the skill is activated
Reference documents
1,141 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Data Source
- Required Input
- Querying Data
- Data Quality Check
- Funnel Analysis
- Efficiency Analysis
- Output Format
- Budget Reallocation
Files
SKILL.mdcore3,804 bytesreferences/budget_reallocation_rules.mddoc4,255 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubanalyzing-time-series
When your agent uses it
Comprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
660 tokensWhen the skill is activated
Reference documents
1,647 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Input Format
- Workflow
- Script Options
- Output Files
- References
- Dependencies
Scripts executed separately
scripts/diagnose.pyscripts/ts_utils.pyscripts/visualize.py
Files
SKILL.mdcore2,872 bytesSKILL.mdcore2,872 bytesSKILL.mdcore2,872 bytesreferences/interpretation.mddoc5,924 bytesscripts/diagnose.pyruns19,129 bytesscripts/ts_utils.pyruns13,352 bytesscripts/visualize.pyruns14,859 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubgenerating-practice-questions
When your agent uses it
Generate educational practice questions from lecture notes to test student understanding. Use when users request practice questions, exam preparation materials, study guides, or assessment items based on lecture content.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
1,206 tokensWhen the skill is activated
Reference documents
4,481 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Input
- Question Structure
- Question Guidelines
- Output Format Guidelines
- Supporting Resources
Files
SKILL.mdcore5,706 bytesassets/markdown_template.mddoc2,289 bytesassets/questions_template.texasset3,730 bytesreferences/examples_by_topic.mddoc17,343 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubanalyzing-time-series
When your agent uses it
Comprehensive diagnostic analysis of time series data. Use when users provide CSV time series data and want to understand its characteristics before forecasting - stationarity, seasonality, trend, forecastability, and transform recommendations.
What it loads into context
Frontmatter
48 tokensAlways available to the agent
SKILL.md
660 tokensWhen the skill is activated
Reference documents
1,647 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Input Format
- Workflow
- Script Options
- Output Files
- References
- Dependencies
Scripts executed separately
scripts/diagnose.pyscripts/ts_utils.pyscripts/visualize.py
Files
SKILL.mdcore2,872 bytesSKILL.mdcore2,872 bytesSKILL.mdcore2,872 bytesreferences/interpretation.mddoc5,924 bytesscripts/diagnose.pyruns19,129 bytesscripts/ts_utils.pyruns13,352 bytesscripts/visualize.pyruns14,859 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubgenerating-practice-questions
When your agent uses it
Generate educational practice questions from lecture notes to test student understanding. Use when users request practice questions, exam preparation materials, study guides, or assessment items based on lecture content.
What it loads into context
Frontmatter
44 tokensAlways available to the agent
SKILL.md
1,206 tokensWhen the skill is activated
Reference documents
4,481 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Input
- Question Structure
- Question Guidelines
- Output Format Guidelines
- Supporting Resources
Files
SKILL.mdcore5,705 bytesassets/markdown_template.mddoc2,289 bytesassets/questions_template.texasset3,730 bytesreferences/examples_by_topic.mddoc17,343 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubadding-cli-command
When your agent uses it
Provides Typer templates, handles registration, and ensures consistency. ALWAYS use this skill when adding or modifying CLI commands. Use when user requests to add/create/implement/build/write a new command (e.g., "add edit command", "create search feature") OR update/modify/change/edit an existing command.
What it loads into context
Frontmatter
70 tokensAlways available to the agent
SKILL.md
886 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
- Workflow
- Template A: Single Command
- Template B: Command Group
- Template C: Destructive Command
- Registration
- Conventions
Files
SKILL.mdcore3,704 bytesSKILL.mdcore3,704 bytesSKILL.mdcore3,704 bytesSKILL.mdcore3,704 bytesSKILL.mdcore3,704 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubgenerating-cli-tests
When your agent uses it
Generate pytest tests for Typer CLI commands. Includes fixtures (temp_storage, sample_data), CliRunner patterns, confirmation handling (y/n/--force), and edge case coverage. Use when user asks to "write tests for", "test my CLI", "add test coverage", or any CLI + test request.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
1,343 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
- Workflow
- Fixtures (conftest.py)
- Test Structure (AAA)
- CliRunner Usage
- Test Scenarios by Command Type
- Edge Cases to Cover
- Checklist
- Running Tests
Files
SKILL.mdcore5,391 bytesSKILL.mdcore5,391 bytesSKILL.mdcore5,391 bytesSKILL.mdcore5,391 bytesSKILL.mdcore5,391 bytesSKILL.mdcore5,391 bytesSKILL.mdcore5,391 bytesSKILL.mdcore5,391 bytesSKILL.mdcore5,391 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubreviewing-cli-command
When your agent uses it
Provides checklist for reviewing Typer CLI command implementations. Covers structure, Annotated syntax, error handling, exit codes, display module usage, destructive action patterns, and help text conventions. Use when user asks to review/check/verify a CLI command, wants feedback on implementation, or asks if a command follows best practices.
What it loads into context
Frontmatter
71 tokensAlways available to the agent
SKILL.md
889 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
- Review Process
- Structure
- Arguments & Options
- Error Handling
- Output
- Destructive Actions
- Help Text
- Common Mistakes
- Review Output Format
Files
SKILL.mdcore3,429 bytesSKILL.mdcore3,429 bytesSKILL.mdcore3,429 bytesSKILL.mdcore3,429 bytesSKILL.mdcore3,429 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHublearning-a-tool
When your agent uses it
Create learning paths for programming tools, and define what information should be researched to create learning guides. Use when user asks to learn, understand, or get started with any programming tool, library, or framework.
What it loads into context
Frontmatter
49 tokensAlways available to the agent
SKILL.md
547 tokensWhen the skill is activated
Reference documents
352 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Workflow
- Output Format
Files
SKILL.mdcore2,575 bytesSKILL.mdcore2,575 bytesSKILL.mdcore2,575 bytesreferences/progressive-learning.mddoc1,522 bytes
No excerpt is shown for this license. Read the source on GitHub.
View the complete source on GitHubSkills included
- analyzing-marketing-campaign
- craftedwell-brand
- analyzing-marketing-campaign
- analyzing-time-series
- generating-practice-questions
- analyzing-time-series
- generating-practice-questions
- adding-cli-command
- generating-cli-tests
- reviewing-cli-command
- learning-a-tool
Repository facts
- License
- No license detected
- Created
- Jan 27, 2026
- Last pushed
- Jun 8, 2026
- Forks
- 621
- Open issues
- 0
- Project activity
- Slowing
Rank over the last 12 weeks
Now #670 · best #463 · down 121 in 30 days
- #654 on Oct 31
- #660 on Nov 1
- #662 on Nov 2
- #668 from Nov 3 to Nov 4
- #669 on Nov 5
- #670 since Nov 6
56 earlier periods
- #455 on Aug 2
- #460 on Aug 7
- #475 on Aug 10
- #472 on Aug 11
- #468 on Aug 12
- #478 on Aug 13
- #476 on Aug 14
- #463 on Aug 15
- #472 on Aug 17
- #483 from Aug 18 to Aug 19
- #482 on Aug 20
- #464 on Aug 22
- #485 from Aug 23 to Aug 24
- #494 on Aug 25
- #498 from Aug 27 to Aug 28
- #476 on Aug 30
- #497 on Aug 31
- #503 on Sep 1
- #499 on Sep 2
- #506 on Sep 3
- #493 on Sep 5
- #501 on Sep 6
- #518 on Sep 8
- #510 on Sep 11
- #506 on Sep 12
- #521 on Sep 14
- #514 on Sep 15
- #526 on Sep 16
- #523 on Sep 17
- #524 on Sep 18
- #512 on Sep 19
- #522 on Sep 20
- #531 on Sep 22
- #526 on Sep 23
- #514 on Sep 24
- #511 on Sep 26
- #532 on Sep 27
- #533 on Sep 28
- #552 on Sep 29
- #532 on Oct 1
- #536 on Oct 2
- #533 on Oct 5
- #545 on Oct 6
- #549 on Oct 7
- #567 on Oct 8
- #552 on Oct 11
- #564 on Oct 12
- #567 on Oct 13
- #593 on Oct 20
- #598 on Oct 21
- #588 on Oct 22
- #573 on Oct 24
- #637 on Oct 25
- #647 on Oct 28
- #651 on Oct 29
- #653 on Oct 30
Before you install
Local scriptsAutomated signals, not a guarantee
Checked Nov 3, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 22 notes
L4/custom_skills/analyzing-time-series/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL4/custom_skills/analyzing-time-series/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL5/custom_skills/analyzing-time-series/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL5/custom_skills/analyzing-time-series/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/adding-cli-command/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/adding-cli-command/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/adding-cli-command/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/adding-cli-command/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/generating-cli-tests/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/generating-cli-tests/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/generating-cli-tests/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/generating-cli-tests/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/generating-cli-tests/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/generating-cli-tests/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/generating-cli-tests/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/generating-cli-tests/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/reviewing-cli-command/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/reviewing-cli-command/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/reviewing-cli-command/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedL6/.claude/skills/reviewing-cli-command/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- No dangerous shell commands
- No network access
- No hidden or obfuscated text
- 6 instruction override signalsin 3 files: adding-cli-command/SKILL.md:92 reviewing-cli-command/SKILL.md:34 generating-cli-tests/SKILL.md:88
- 6 executable scriptsin 6 files: analyzing-time-series/scripts/diagnose.py:1 analyzing-time-series/scripts/ts_utils.py:1 analyzing-time-series/scripts/visualize.py:1 and 3 more
- No access to secrets
- No requests to vote in Hot
Show all 12 signals by file
L4/custom_skills/analyzing-time-series/scripts/diagnose.py
- Executable scriptline 1
#!/usr/bin/env python3
L4/custom_skills/analyzing-time-series/scripts/ts_utils.py
- Executable scriptline 1
#!/usr/bin/env python3
L4/custom_skills/analyzing-time-series/scripts/visualize.py
- Executable scriptline 1
#!/usr/bin/env python3
L5/custom_skills/analyzing-time-series/scripts/diagnose.py
- Executable scriptline 1
#!/usr/bin/env python3
L5/custom_skills/analyzing-time-series/scripts/ts_utils.py
- Executable scriptline 1
#!/usr/bin/env python3
L5/custom_skills/analyzing-time-series/scripts/visualize.py
- Executable scriptline 1
#!/usr/bin/env python3
L6/.claude/skills/adding-cli-command/SKILL.md
- Instruction override signalline 92
def clear( task_id: Annotated[int, typer.Argument(help="task ID to delete")], force: Annotated[bool, typer.Option("--force", "-f", help="skip confirmation")] = False, - Instruction override signalline 93
task_id: Annotated[int, typer.Argument(help="task ID to delete")], force: Annotated[bool, typer.Option("--force", "-f", help="skip confirmation")] = False, ): - Instruction override signalline 94
force: Annotated[bool, typer.Option("--force", "-f", help="skip confirmation")] = False,
L6/.claude/skills/generating-cli-tests/SKILL.md
- Instruction override signalline 88
# Skip confirmation
L6/.claude/skills/reviewing-cli-command/SKILL.md
- Instruction override signalline 34
# GOOD: name: Annotated[str, typer.Argument(help="item name")] force: Annotated[bool, typer.Option("--force", "-f", help="skip confirmation")] = False - Instruction override signalline 36
force: Annotated[bool, typer.Option("--force", "-f", help="skip confirmation")] = False
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.
No combined signals at this commit.
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Compatible | Standard SKILL.md L1-partI/skill/analyzing-marketing-campaign/SKILL.md | .claude/skills/<skill-name>/ |
| Codex | Compatible | Standard SKILL.md L1-partI/skill/analyzing-marketing-campaign/SKILL.md | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md L1-partI/skill/analyzing-marketing-campaign/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md L1-partI/skill/analyzing-marketing-campaign/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md L1-partI/skill/analyzing-marketing-campaign/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md L1-partI/skill/analyzing-marketing-campaign/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.
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