agentleFS
zime-aizime-ai/zime-gtm-skills/AGENTS.md

zime-gtm-skills

AGENTS.md19 starsChanged 27 days agoMITView on GitHub

Guidelines for AI agents working in this repository. Open-source Agent Skills that audit sales call transcripts and CRM exports against per-GTM-motion rubrics. No Zime product coupling: every skill runs standalone, no API keys, no gating, no data leaves the user's machine. Skills install to .agents/skills/ (the cross-agent standard) and also work under .claude/skills/. SKILL.md stays under 500 lines. Move detail into references/. references/, scripts/, assets/, evals/ are one level deep, no nested reference chains. CI additionally runs the upstream spec's…

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The file

We split this AGENTS.md into the rules it gives an agent

2 rules. About 0 are common, 1 is distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    No Zime product coupling: every skill runs standalone, no API keys, no gating, no data leaves the user's machine.

    line 9
  2. Distinctive:

    Every automated check enforces a named rule, so a CI failure line points at what to fix, not just which script ran.

    line 78

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
AGENTS.md

AGENTS.md

Guidelines for AI agents working in this repository.

Repository overview

Open-source Agent Skills that audit sales call transcripts and CRM exports against per-GTM-motion rubrics. No Zime product coupling: every skill runs standalone, no API keys, no gating, no data leaves the user's machine. Skills install to .agents/skills/ (the cross-agent standard) and also work under .claude/skills/.

Repository structure

zime-gtm-skills/
├── .claude-plugin/
│   ├── marketplace.json       # /plugin marketplace add zime-ai/zime-gtm-skills
│   └── plugin.json
├── skills/
│   └── skill-name/
│       ├── SKILL.md          # required
│       ├── references/       # optional, the rubric lives here
│       ├── assets/           # optional, synthetic sample transcript/CSV
│       └── evals/            # optional, evals.json, declarative for now
├── validate-skills.sh         # local, zero-dep frontmatter/layout check
├── CONTRIBUTING.md
├── MAINTAINING.md              # process + decisions, for picking this repo back up
├── ROADMAP.md                   # what's built, what's next
├── LICENSE
└── README.md

Frontmatter contract

FieldRequiredConstraints
nameyes1–64 chars, lowercase [a-z0-9-], must equal the parent directory name
descriptionyes1–1024 chars; state both what the skill does and when to use it
licensenodefaults to MIT
metadatanofree-form; this repo uses zime:category, zime:dimension (stage/initiative/vertical-context), zime:input-modes, and (for stage skills) zime:stage

SKILL.md stays under 500 lines. Move detail into references/. references/, scripts/, assets/, evals/ are one level deep, no nested reference chains.

Validate

./validate-skills.sh                        # local, seconds, zero deps
./scripts/check-docs-sync.sh                # README count/table vs skills/, zero deps
python3 scripts/scan-content.py             # content-level leak/injection scan, zero deps
scripts/skillspector-gate.sh all         # static security scan (needs `skillspector` on PATH), or pass a base ref for changed skills only

CI additionally runs the upstream spec's skills-ref validate on every PR, pinned to a commit (see .github/workflows/validate.yml) since it isn't published to PyPI.

tests/run-checks-tests.sh runs the above three against deliberately broken fixtures (missing frontmatter, un-ignored private dirs, a leaked home path, an injection pattern, ...) so a CI failure has been shown to catch something, not only assumed to. Run it after touching any validator.

scripts/check-pr-diff-identity.py <base> <head> is different from the three above: it's diff-scoped, not tree-scoped, and runs automatically after scripts/pr-prep.sh opens a PR rather than before. See the operator-identity rule above.

Rule registry

Every automated check enforces a named rule, so a CI failure line points at what to fix, not just which script ran.

Rule IDEnforced by
frontmatter-contractvalidate-skills.sh: name/description/dimension/line-count
private-data-ignoredvalidate-skills.sh: evals/{transcripts,gt,cases,labels} stay gitignored
readme-in-syncscripts/check-docs-sync.sh
roadmap-in-syncscripts/check-docs-sync.sh: every skills/* dir has a - [x] line in ROADMAP.md and vice versa
no-home-pathsscripts/scan-content.py: no /Users/<name> or C:\Users\<name> in tracked files
no-injectionscripts/scan-content.py: no prompt-injection patterns in skills/*/SKILL.md or references/
no-hidden-unicodescripts/scan-content.py: no zero-width/bidi-override/homoglyph chars
no-client-namesscripts/scan-content.py: local-only, needs a gitignored .private/client-denylist.txt; skips (not a failure) when that file is absent, including in CI
sample-requiredvalidate-skills.sh: every skill with zime:dimension: stage or initiative must have assets/ (at least one file) and evals/evals.json; vertical-context skills are exempt, they're loaded by other skills rather than run directly
operator-identityscripts/check-pr-diff-identity.py: scans a PR's actual diff (not the whole tree) for the operator's own git config user.name/user.email, or a home-directory path; scripts/pr-prep.sh runs it after gh pr create, since the PR is already public by then, this can only warn, not block

The two hard content rules

  1. Every finding in a transcript-mode audit cites a quote or timestamp. An uncited finding doesn't ship: this is the trust bar the whole repo is built on.
  2. Never expose anything that isn't already customer-visible in the Zime product. Checklist titles and question text are customer-visible and fine to draw on; internal scoring weights, thresholds, model configuration, and customer/account data are not. See MAINTAINING.md for the authoring process and how this gets enforced.

Building several skills at once? See MAINTAINING.md's "Building skills at scale" for the worktree-per-skill and create-validate-iterate flow.

Evals

Each skill may carry evals/evals.json: declarative test cases (prompt + sample file + expected expectations). They are not run in CI yet. See EVALS.md for the full methodology: the three eval tiers, why format compliance and insight recall are reported as two separate metrics rather than one blended number, and where a human is required versus where nothing is. Treat evals as the source of truth for "does this skill work," not the skills-ref/validate-skills.sh structural checks, which only catch frontmatter and layout errors.

Two dimensions: stage, initiative

Skills cover deal stage and initiative as ordinary, flat skills (zime:dimension: stage or initiative in frontmatter), never nested under a skills/stage/ or skills/initiative/ directory, since that breaks the install command above and both validators. A third axis, vertical-context (a reference pack per industry any other skill can load on request), was pulled off main before public launch pending domain-expert review. See MAINTAINING.md's "Two dimensions" and "Deferred work" sections, and the vertical-context branch.

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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.