PMM-Skills
AGENTS.md2 starsChanged 27 days agoMITView on GitHub
Guidelines for AI agents working in this repository. This repository contains Agent Skills for AI agents following the Agent Skills specification. Skills install to .agents/skills/ (the cross-agent standard). Skills are content-only (no build step). Verify manually: - YAML frontmatter is valid - name field matches directory name exactly - name is 1-64 chars, lowercase alphanumeric and hyphens only - description is 1-1024 characters CLI tools (tools/clis/*.js) are zero-dependency Node.js scripts (Node 18+). Verify with: Skills follow the Agent Skills spec.
Where files are headingNew AGENTS.md files have more rules about keeping secrets out of the code, and fewer about code style.
Of the AGENTS.md files we read, the 31,774 first seen in the last six months, against the older ones: the kind of rule that gained most share, and the kind that lost most. About files like this in general, not this one, and an estimate, since a kind is a pattern in the words.
In this repository45 other files it gives its agents.
- account-based-marketingSkill
- acquisition-conversionSkill
- ad-creativeSkill
- analytics-trackingSkill
- aso-auditSkill
- buyer-resourcesSkill
- cold-emailSkill
- community-marketingSkill
- competitor-alternativesSkill
- competitor-profilingSkill
- content-strategySkill
- customer-marketingSkill
- customer-researchSkill
- email-sequenceSkill
- eventsSkill
- go-to-market-strategySkill
- icp-and-buyer-personasSkill
- launch-readiness-checkSkill
- launch-strategySkill
- localization-claimsSkill
- market-entry-briefSkill
- market-entry-orchestrationSkill
- marketing-copySkill
- marketing-experimentationSkill
- market-intelligenceSkill
- messaging-consistency-auditSkill
- messaging-frameworkSkill
- objection-intelligenceSkill
- output-quality-checkSkill
- paid-adsSkill
- partner-marketingSkill
- positioning-strategySkill
- pricing-strategySkill
- product-activationSkill
- product-communicationsSkill
- product-marketing-contextSkill
- referral-programSkill
- revopsSkill
- sales-enablementSkill
- search-discoverabilitySkill
- social-contentSkill
- ssot-context-loopSkill
- upgrade-conversionSkill
- website-buyer-journeySkill
- win-loss-intelligenceSkill
The file
We split this AGENTS.md into the rules it gives an agent
12 rules. About 0 are common, 6 are distinctive, and 6 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈6
Distinctive · estimate
This author's own choices. Worth a look.
6
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 72
No consecutive hyphens (--)
- Distinctive: line 73
Must match parent directory name exactly
- Very specific: line 92
Keep SKILL.md under 500 lines (move details to references/)
- Very specific: line 93
Use H2 (##) for main sections, H3 (###) for subsections
- Distinctive: line 94
Use bullet points and numbered lists liberally
- Distinctive: line 121
No em dashes: Use a period, comma, colon, or parentheses instead.
- Distinctive: line 129
When to use it (trigger phrases)
- Very specific: line 154
Check every skill change with an in-session smoke test: Run the changed skill once on one of its eval prompts from evals/evals.json, save …
- Distinctive: line 167
Follow the Conventional Commits specification:
- Very specific: line 187
Tool discovery: Read tools/REGISTRY.md to see available tools and their capabilities
- Very specific: line 228
Instead of every skill telling the agent "go check if .agents/product-marketing-context.md exists and read it," you can inject it …
- Distinctive: line 234
Place this at the top of a skill's body (after frontmatter) to make context available immediately without any file-reading step.
≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AGENTS.md
Guidelines for AI agents working in this repository.
Repository Overview
This repository contains Agent Skills for AI agents following the Agent Skills specification. Skills install to .agents/skills/ (the cross-agent standard).
- Name: PMM-Skills
- GitHub: mia-ppp/PMM-Skills
- License: MIT
Repository Structure
PMM-Skills/
├── skills/ # Agent Skills
│ ├── _shared/ # Shared references skills load (evidence gaps, segment selection, messaging examples)
│ └── skill-name/
│ └── SKILL.md # Required skill file
├── tools/
│ ├── clis/ # Zero-dependency Node.js CLI tools (61 tools)
│ ├── composio/ # Composio integration layer (quick start + toolkit mapping)
│ ├── integrations/ # API integration guides per tool
│ └── REGISTRY.md # Tool index with capabilities
├── CONTRIBUTING.md
├── LICENSE
└── README.mdBuild / Lint / Test Commands
Skills are content-only (no build step). Verify manually:
- YAML frontmatter is valid
namefield matches directory name exactlynameis 1-64 chars, lowercase alphanumeric and hyphens onlydescriptionis 1-1024 characters
CLI tools (tools/clis/*.js) are zero-dependency Node.js scripts (Node 18+). Verify with:
node --check tools/clis/<name>.js # Syntax check
node tools/clis/<name>.js # Show usage (no args = help)
node tools/clis/<name>.js <cmd> --dry-run # Preview request without sendingAgent Skills Specification
Skills follow the Agent Skills spec.
Required Frontmatter
---
name: skill-name
description: What this skill does and when to use it. Include trigger phrases.
---Frontmatter Field Constraints
| Field | Required | Constraints |
name | Yes | 1-64 chars, lowercase a-z, numbers, hyphens. Must match dir. |
description | Yes | 1-1024 chars. Describe what it does and when to use it. |
license | No | License name (default: MIT) |
metadata | No | Key-value pairs (author, version, etc.) |
Name Field Rules
- Lowercase letters, numbers, and hyphens only
- Cannot start or end with hyphen
- No consecutive hyphens (
--) - Must match parent directory name exactly
Valid: acquisition-conversion, email-sequence, marketing-experimentation
Invalid: Page-CRO, -page, page--cro
Optional Skill Directories
skills/skill-name/
├── SKILL.md # Required - main instructions (<500 lines)
├── references/ # Optional - detailed docs loaded on demand
├── scripts/ # Optional - executable code
└── assets/ # Optional - templates, data filesWriting Style Guidelines
Structure
- Keep
SKILL.mdunder 500 lines (move details toreferences/) - Use H2 (
##) for main sections, H3 (###) for subsections - Use bullet points and numbered lists liberally
- Short paragraphs (2-4 sentences max)
Tone
- Direct and instructional
- Second person ("You are a conversion rate optimization expert")
- Professional but approachable
Formatting
- Bold (
**text**) for key terms - Code blocks for examples and templates
- Tables for reference data
- No excessive emojis
Clarity Principles
- Clarity over cleverness
- Specific over vague
- Active voice over passive
- One idea per section
House Style
These rules apply to skill files and to every deliverable a skill produces.
- No em dashes. Use a period, comma, colon, or parentheses instead.
- Sentences span two lines at most. Split any longer sentence into two.
- Bullets lead with the outcome. State the result first, then how to get it.
Description Field Best Practices
The description is critical for skill discovery. Include:
- What the skill does
- When to use it (trigger phrases)
- Related skills for scope boundaries
description: When the user wants to optimize conversions on any marketing page. Use when the user says "CRO," "conversion rate optimization," "this page isn't converting." For signup flows, see acquisition-conversion.Evidence gaps
Evidence decides how an item is labeled, never whether it is included. The full rule lives in one place: skills/_shared/evidence-gaps.md. It covers the Sourced / Assumed / Gap labels, the "Inputs and assumptions" note every deliverable opens with, relevance cuts, customer-facing copy, and the ranked Evidence gaps lists.
- Edit the rule only in that file. It ships with installed skills and the eval harness loads it; this file does neither.
- Load it from every skill that produces a deliverable. Reference it as
../_shared/evidence-gaps.md. - Load
../_shared/segment-selection.mdtoo from any skill that chooses an audience, ICP, beachhead, or wedge.
Production runs
A production run is a skill producing a real deliverable, such as a GTM plan for an assignment.
- Never edit skill files during a production run. Finish the run with the skills as they are.
- Report skill problems separately, after the run. Name the skill, what the run exposed, and the proposed fix.
- Test skill fixes with a smoke test, not in the run. Production runs do not grade themselves with a pass or fail step.
Testing skill changes
- Check every skill change with an in-session smoke test. Run the changed skill once on one of its eval prompts from
evals/evals.json, save the output toscratch/, and hand it to the user to review. - Run the API eval harness only when the user asks. It is optional. No commit, merge, push, or rollout waits on it.
Git Workflow
Branch Naming
- New skills:
feature/skill-name - Improvements:
fix/skill-name-description - Documentation:
docs/description
Commit Messages
Follow the Conventional Commits specification:
feat: add skill-name skillfix: improve clarity in acquisition-conversiondocs: update README
Pull Request Checklist
namematches directory name exactlynamefollows naming rules (lowercase, hyphens, no--)descriptionis 1-1024 chars with trigger phrasesSKILL.mdis under 500 lines- No instruction drops content for lacking proof (see Evidence gaps)
- Output format ends with an Evidence gaps section
- No sensitive data or credentials
Tool Integrations
This repository includes a tools registry for agent-compatible marketing tools.
- Tool discovery: Read
tools/REGISTRY.mdto see available tools and their capabilities - Integration details: See
tools/integrations/{tool}.mdfor API endpoints, auth, and common operations - MCP-enabled tools: ga4, stripe, mailchimp, google-ads, resend, zapier, zoominfo, clay, supermetrics, coupler, outreach, crossbeam, introw, composio
- Composio (integration layer): Adds MCP access to OAuth-heavy tools without native MCP servers (HubSpot, Salesforce, Meta Ads, LinkedIn Ads, Google Sheets, Slack, etc.). See
tools/integrations/composio.md
Registry Structure
tools/
├── REGISTRY.md # Index of all tools with capabilities
└── integrations/ # Detailed integration guides
├── ga4.md
├── stripe.md
├── rewardful.md
└── ...When to Use Tools
Skills reference relevant tools for implementation. For example:
referral-programskill → rewardful, tolt, dub-co, mention-me guidesanalytics-trackingskill → ga4, mixpanel, segment guidesemail-sequenceskill → customer-io, mailchimp, resend guidespaid-adsskill → google-ads, meta-ads, linkedin-ads guides
For tools without native MCP servers (HubSpot, Salesforce, Meta Ads, LinkedIn Ads, Google Sheets, Slack, Notion), Composio provides MCP access via a single server. See tools/integrations/composio.md for setup and tools/composio/marketing-tools.md for the full toolkit mapping.
Skill Categories
See README.md for the current list of skills organized by category. When adding new skills, follow the naming patterns of existing skills in that category.
Claude Code-Specific Enhancements
These patterns are Claude Code only and must not be added to SKILL.md files directly, as skills are designed to be cross-agent compatible (Codex, Cursor, Windsurf, etc.). Apply them locally in your own project's .claude/skills/ overrides instead.
Dynamic content injection with !command``
Claude Code supports embedding shell commands in SKILL.md using !`command` syntax. When the skill is invoked, Claude Code runs the command and injects the output inline: the model sees the result, not the instruction.
Most useful application: auto-inject the product marketing context file
Instead of every skill telling the agent "go check if .agents/product-marketing-context.md exists and read it," you can inject it automatically:
Product context: !`cat .agents/product-marketing-context.md 2>/dev/null || echo "No product context file found. Ask the user about their product before proceeding."`Place this at the top of a skill's body (after frontmatter) to make context available immediately without any file-reading step.
Other useful injections:
# Inject today's date for recency-sensitive skills
Today's date: !`date +%Y-%m-%d`
# Inject current git branch (useful for workflow skills)
Current branch: !`git branch --show-current 2>/dev/null`
# Inject recent commits for context
Recent commits: !`git log --oneline -5 2>/dev/null`Why this is Claude Code-only: Other agents that load skills will see the literal !`command` string rather than executing it, which would appear as garbled instructions. Keep cross-agent skill files free of this syntax.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

