make-readme
Use when the user asks to write, generate, improve, rewrite, review, fix, or score a README; when a repo has no README or a weak one; or when they invoke…
Skill by sazlin
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/sazlin-make-readme
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
Get the weekly diff
The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.
About
Use cases: writing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/make-readme
What's inside
- Skill name
make-readme- Description
- Use when the user asks to write, generate, improve, rewrite, review, fix, or score a README; when a repo has no README or a weak one; or when they invoke /make-readme.
- License
- MIT
- Metadata
- loadout.sha: 49eb9bd · loadout.source: skills/make-readme/SKILL.md · loadout.managed: true
- Instructions
- 189 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (9)
- README_TEMPLATE.md
- SKILL.md
- badges.md · references/
- evidence.md · references/
- project-types.md · references/
- section-playbook.md · references/
- corpus_analyzer.py · scripts/
- inspect_repo.py · scripts/
- score_readme.py · scripts/
SKILL.md (first lines)
# make-readme Produce a README that a stranger can evaluate in ten seconds and use in sixty. The structure here is not taste. It comes from measuring the 40 most-starred OSS developer-tool repositories on GitHub (September 2026), 114 curated "great README" write-ups, and six mainstream guides. `references/evidence.md` carries the numbers and the method. When a decision is contested, the corpus wins. ## Non-negotiable rules 1. **Never invent facts.** No benchmark numbers, no feature you have not seen in the code, no license you have not read in the LICENSE file, no Discord link you cannot verify, no install method the repo does not document. If a fact is missing, either omit the element or ask. An impressive lie in a README is a bug report. 2. **Never link a file that does not exist.** CONTRIBUTING.md, SECURITY.md, LICENSE, docs/, images: check each one on disk before linking it. Offer to create the missing file instead. 3. **Read the manifest for every version claim.** Runtime floors, package names, extras, and entry points come from `pyproject.toml`, `package.json`, `Cargo.toml`, or `go.mod`, never from memory or from the previous README. Version drift between README and manifest is the most common factual defect found in real repos. 4. **Verify commands.** Every install and quick-start command must be traceable to a manifest, a published package, or a script in the repo. Run them when the environment allows it. Mark anything you could not verify and tell the user in your summary. 5. **Cut before you add.** The median top-tier README is ~128 lines and ~10 sections. A section that exists because a template had it is worse than no section. 6. **Preserve what already works.** When improving an existing README, keep its working badges, real community links, hard-won troubleshooting notes, its voice, and the product's own nouns. You are editing, not replacing a person's work. ## Workflow ### Step 1: Establish mode and target - `create`: no README, or the user wants a fresh one. - `improve`: a README exists. Default to this whenever one is present. - `review`: the user wants a critique or score only. Do Steps 2 and 6, skip the writing. If the target is a remote repo, clone it shallowly first (`git clone --depth 1 <url>`); if you cannot clone, fetch the raw README and work from the user's answers alone, and say plainly that repo facts were unverified. ### Step 2: Gather facts from the repo, not from memory ```bash python3 scripts/inspect_repo.py /path/to/repo ``` This prints identity, binary names, justfile recipes, manifests, ecosystems, likely install commands, license detection, CI workflows, docs dirs, media assets, community links, health files, and a GAPS list. H1 is NAME (already BINARIES[0] when present). REPO is the git folder. Extra console scripts stay on BINARIES. Then read enough of the actual code to describe it honestly: the entry point, the main module or CLI definition, one real usage path. A README written from the manifest alone reads like it was written from the manifest alone. If a README already exists: ```bash python3 scripts/score_readme.py /path/to/repo/README.md --repo /path/to/repo ``` Corpus calibration: the 40 top-starred repos score a median of 81 on this rubric (p25 75, p75 89, range 59 to 98). Target 90+, and never ship with a CRITICAL failure. ### Step 3: Classify the project and pick the preset Read `references/project-types.md` and choose one: CLI tool, library/SDK, web app or self-hosted service, framework, AI agent/model tool, plugin/extension, monorepo, research/dataset, internal repo, or template repo. The preset decides which optional sections survive and what the hero visual should be. ### Step 4: Ask only what you cannot determine Ask at most 3 to 5 questions, in one batch, only for facts the repo cannot answer. The usual unknowns: who the audience is, whether a hosted version exists, which support channel is actually monitored, whether a demo asset can be produced, and any license nuance. Include your best guess with each question so the user can confirm rather than compose. If the user is unavailable (unattended run), pick the most conservative reading, omit any element that would require an unverified claim, and list every assumption at the top of your final summary. For the hero command, use the launch that the existing README, shims, or `--help` already treat as primary; do not infer a profile from the language or stack. ### Step 5: Write Work from `README_TEMPLATE.md`. Its inline instruction blocks carry the per-section rules; `references/section-playbook.md` carries the reasoning and the failure modes, and `references/badges.md` has copy-paste badge URLs. Keep only the CLI catalog or the library example; delete the unused skeleton so placeholders cannot leak. Canonical order (median positions from the corpus): 1. Header block: logo (optional), binary or product name (not the git slug), tagline, 3 to 6 badges 2. Hero visual: GIF for a CLI, screenshot for an app, first code block for a library 3. Features: 3 to 6 bullets, bold benefit first, differentiators only (7 to 8 only if each is a distinct shipped capability) 4. Installation: one primary command, prerequisites on one line; extras only if they are real, documented, and internally consistent 5. Quick start: CLI = one commented command catalog, at most 8 invocations plus `--help` (overflow in `<details>` or docs/); library = smallest example plus printed result. Delete the unused template skeleton. 6. At most one domain section: integrations table, deployment, comparison, or architecture 7. Documentation: docs home plus up to 3 deep links 8. Community and support: routed by intent, 2 to 4 lines 9. Contributing: one sentence plus a link to CONTRIBUTING.md 10. License: one line, named explicitly, always last Writing rules that the corpus and the guides agree on: - Second person, present tense, active voice. "Install it with", not "It can be installed by". - Lead every section with the thing itself, not with a preamble sentence. - Language-tag every fence. No `$` prompts inside copyable blocks. - Relative links for in-repo files; absolute only for external sites. - Alt text on every image. - Exactly one H1. No skipped heading levels. - No emoji in heading text (10% of the corpus; it ages badly and breaks anchors). - No table of contents under ~150 lines; GitHub generates an outline automatically. - Tables only for genuinely tabular reference data, capped at ~12 rows. - Do not describe unreleased work in the present tense. - H1 is the binary or product name people type, not the git folder. - Copy the project's own nouns from the existing README and `--help`. Do not rename the product to match implementation jargon. - The first CLI command is the launch that the existing README, shims, or `--help` already treat as primary; do not infer it from the language or stack. - For a library, Quick start stays a tiny example plus what it prints. Do not flatten a library README into a command catalog. Delete the bash catalog skeleton.
From sazlin/loadout, MIT.
More from sazlin/loadout
- 0.570score
anti-sleep
sazlin
Use when running long local tasks on a Mac or MacBook, waiting on CI, polling other systems, or when the user says /anti-sleep; also when idle sleep, lid…
SkillAFreshness: AClaude Code +9 - 0.570score
dispatch-resolve-wave
sazlin
Dispatch file-disjoint issue_resolver worktrees for the next resolve wave.
SkillAFreshness: AClaude Code +9 - 0.570score
log-progress
sazlin
Append one entry to REVIEW_HISTORY.md.
SkillAFreshness: AClaude Code +9 - 0.570score
generating-readme
sazlin
Use when generating, rewriting, or refreshing README.md for this loadout repository; when the Available loadouts catalog may be stale after loadout YAML…
SkillAFreshness: AClaude Code +9 - 0.570score
dedupe-and-write-tasks
sazlin
Dedupe panel or verifier issues and rewrite the hashed tasks file with 1-3 similar issues per task.
SkillAFreshness: AClaude Code +9 - 0.565score
learn
sazlin
Use only when the user says /learn or asks to capture this session's agent mistakes as project learnings in AGENTS.md.
SkillAFreshness: AClaude Code +9 - 0.565score
build-implementation-plan
sazlin
Use when implementation_orchestrator starts building, or when an autonomous factory needs a fresh implementation_builder to implement IMPLEMENTATION_PLAN.md.
SkillAFreshness: AClaude Code +9 - 0.565score
decisions
sazlin
Use when the user says /decisions, asks to list, enumerate, or recap decisions made this session, or wants a chronological grok-list of agent choices.
SkillAFreshness: AClaude Code +9 - 0.565score
dispatch-panel-review
sazlin
Dispatch the four dimensional PR reviewers in parallel.
SkillAFreshness: AClaude Code +9 - 0.565score
github-upload-media-to-pr
sazlin
Use when the user explicitly asked to attach screenshots, images, recordings, or videos to a GitHub pull request — for example "put the screenshot in the PR"…
SkillAFreshness: AClaude Code +9 - 0.565score
create-implementation-plan
sazlin
Use when implementation_orchestrator starts planning, or when an autonomous factory needs a fresh implementation_planner to write IMPLEMENTATION_PLAN.md from…
SkillAFreshness: AClaude Code +9 - 0.565score
dispatch-verifiers
sazlin
Run project VERIFIERS.md claims sequentially as true/false checks via the verifier agent.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Oct 2, 2026 (25 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/sazlin/loadout
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from sazlin
- 0.570score
anti-sleep
sazlin
Use when running long local tasks on a Mac or MacBook, waiting on CI, polling other systems, or when the user says /anti-sleep; also when idle sleep, lid…
SkillAFreshness: AClaude Code +9 - 0.570score
dedupe-and-write-tasks
sazlin
Dedupe panel or verifier issues and rewrite the hashed tasks file with 1-3 similar issues per task.
SkillAFreshness: AClaude Code +9 - 0.570score
dispatch-resolve-wave
sazlin
Dispatch file-disjoint issue_resolver worktrees for the next resolve wave.
SkillAFreshness: AClaude Code +9 - 0.570score
generating-readme
sazlin
Use when generating, rewriting, or refreshing README.md for this loadout repository; when the Available loadouts catalog may be stale after loadout YAML…
SkillAFreshness: AClaude Code +9 - 0.570score
log-progress
sazlin
Append one entry to REVIEW_HISTORY.md.
SkillAFreshness: AClaude Code +9 - 0.565score
build-implementation-plan
sazlin
Use when implementation_orchestrator starts building, or when an autonomous factory needs a fresh implementation_builder to implement IMPLEMENTATION_PLAN.md.
SkillAFreshness: AClaude Code +9
Cite this page
make-readme skill. Agent Mart. https://agentmart.dev/skills/sazlin-make-readme (last updated 2026-10-24)