
agents-md-generator
Create, audit, or compact repository instructions in AGENTS.md, scoped overrides, and requested tool compatibility files. Use to preserve non-obvious project rules while removing stale, duplicated, or generic guidance.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/thienanblog/awesome-ai-agent-skills --skill agents-md-generator- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads agents-md-generator automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
AGENTS.md Generator
Produce a small instruction layer containing verified project facts that materially change agent behavior. General engineering knowledge belongs outside always-loaded instructions.
Delegation
Run in the main conversation by default. Delegation can increase usage: obtain explicit approval for the proposed agent count and scope before using subagents. Reuse that approval within its bounds; ask again before expanding the approved count or scope.
Discover the instruction chain
Inspect existing instructions, their ownership, scopes, and symlinks before editing. Preserve a working shared source such as AGENTS.md pointing to CLAUDE.md; do not replace it solely to impose a preferred filename. Add compatibility files only when the requested tool support needs them. Keep global user configuration outside a repository-instruction task.
For an unfamiliar or multi-tool repository, the bundled detector can locate instruction paths and declared framework/tool signals:
"<skill-directory>/scripts/detect-agent-context" --root "<repository-root>" --format json
On Windows use scripts/detect-agent-context.cmd with the same arguments. Python provides JSON; native Bash/PowerShell fallbacks emit a smaller text report. Resolve scripts relative to this skill, not the target project. Direct file inspection is sufficient for a known, narrow edit.
The detector indexes selected public manifests and instruction/config paths without reading credentials, environment files, or instruction contents. Treat it as an index: read the applicable instructions and verify commands in their source before persisting them. Include global paths only when that investigation is authorized and relevant.
Read discovery.md for detector details or tool-compatibility.md when loading order and supported tool behavior affect the output.
Select durable rules
Keep a rule when it is non-obvious, supported by project evidence, useful across tasks, and concrete enough to follow. Good candidates include exact command runners, generated-file ownership, unusual business boundaries, required checks, and repository-specific deployment or approval constraints.
Remove or rewrite generic advice, personas, duplicated rules, obsolete commands, exhaustive inventories, mandatory questionnaires, unsupported scores, and procedures that conflict with current project intent. Describe actual authorization boundaries; do not invent new approval gates or weaken explicit ones.
Keep detailed design, API, testing, and deployment guidance in their existing owners, linked with a clear read condition. Exclude secrets, home-directory paths, prompt transcripts, task logs, and global tool inventories.
Write or reconcile
Default to one compact shared instruction source. Use nested files for meaningful scope differences supported by the target tools, without repeating parent rules. For Codex, check same-directory AGENTS.override.md precedence before proposing a layout. For requested Claude compatibility, an import or existing symlink can avoid duplicate rules.
Use output-template.md as a menu. Classify existing content as keep, update, move, remove, or unresolved; resolve facts from source, and ask only about conflicts that require the user's decision. Read merge-and-verify.md for an existing file consolidation.
Prefer roughly 80–150 lines for a root file and shorter scoped files, without padding to a target. Review a root above 200 lines or 16 KiB for duplication and misplaced detail; preserve justified requirements while respecting the target tool's actual loading limit. Do not raise a global context limit just to avoid editing.
Use tracked diffs for recovery. Preserve untracked content that would otherwise be lost. Do not create routine backup copies, alter history, or ignore entire tool-configuration directories merely as part of generating instructions.
Verify
Check cited paths and commands, scope/precedence, symlinks, duplicate rules, and unresolved placeholders. Measure line/byte size and ensure the relevant instruction chain fits the target tool. Run repository validators when applicable. Static inspection of a command does not mean it was executed; do not run a destructive command to verify its spelling.
Report material rules kept, changed, moved, or removed, the evidence used, and unresolved conflicts. Avoid a separate discovery report unless the user requested it.
FAQ
What does the agents-md-generator skill do?
Create, audit, or compact repository instructions in AGENTS.md, scoped overrides, and requested tool compatibility files. Use to preserve non-obvious project rules while removing stale, duplicated, or generic guidance.
How do I install agents-md-generator?
Run npx skills add https://github.com/thienanblog/awesome-ai-agent-skills --skill agents-md-generator in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/agents-md-generator/ (personal) or .claude/skills/agents-md-generator/ (project).
Which AI agents can use agents-md-generator?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is agents-md-generator safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains agents-md-generator?
It is published by thienanblog in thienanblog/awesome-ai-agent-skills. It has 74 recorded installs.
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