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Agents Generator

CommunityPopular
sickn33
agents-generator

Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, confidence scoring, and command validation.

Overview

Publishersickn33
Repositoryagentic-awesome-skills
Skill nameagents-generator
Stars
46.5K
Forks
6.8K
Bundled files
18
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by sickn33 on GitHub. Read the source before you install it.

Installation

Install the Agents Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git /tmp/agentic-awesome-skills
mkdir -p .claude/skills
cp -r /tmp/agentic-awesome-skills/plugins/agentic-awesome-skills-claude/skills/agents-generator .claude/skills/agents-generator
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agents Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agents Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agents Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Skill: agents-generator

[!WARNING] [Authorized Use Only] This skill writes or updates AGENTS.md, .agents/rules/, optional platform instruction files, and timestamped backups in the target project. Read the detected inputs and proposed outputs first, obtain approval before changing target files, and use it only inside the user's intended project scope.

When to Use

Use this skill when the user wants to:

  • create a complete, project-specific AGENTS.md instead of generic agent rules;
  • generate companion rules for detected frameworks, tests, databases, styling, or monorepo packages;
  • create a minimal AGENTS.md, preview changes without writing, or update existing instructions after the stack changes.

Do not use it to invent conventions without inspecting the target project, to overwrite instructions outside the user's scope, or to treat generated guidance as a substitute for human review.

Generates a tailored AGENTS.md + .agents/rules/*.md for the target project — not a template with placeholders, but a living document that matches the project's real toolchain.

What you get

From a project that uses Bun + Next.js 16 + Tailwind + Vitest + Server Actions, the skill produces:

AGENTS.md
├── Setup commands: bun install, bun dev, bun run test:run, bun doctor
├── Verification Cycle: bunx tsc --noEmit → bun run lint → bun run test:run → bun doctor
├── Conventions: "Bun always. Plain TypeScript types + guards."
└── Architecture → .agents/rules/architecture.md

.agents/rules/
├── architecture.md       ← ASCII diagram with real directories, exact versions
├── frontend-patterns.md  ← Component rules, state locations, trust boundaries
├── server-actions.md     ← downloadVideo() flow, DownloadResult type, rate limiter
├── testing.md            ← "74 tests in 5 files", vitest commands, mock patterns
├── git-workflow.md       ← Conventional commits, pre-commit checks
└── sdd-workflow.md       ← Preflight defaults, post-apply verification

Rules NOT generated: backend.md (no NestJS), database.md (no ORM), i18n.md (hardcoded Spanish), forms.md (manual inputs), styling.md (Tailwind in frontend rules).

Activation Contract

Generate AGENTS.md + .agents/rules/*.md for the target project. Never guess — read the project's actual files first.

Mode selection

User saysModeOutput
"simple AGENTS.md", "just the basics", "minimal"MinimalSingle AGENTS.md (~30 lines, no rule files)
"full AGENTS.md", "with rules", "complete", or defaultFullAGENTS.md + .agents/rules/*.md
"update AGENTS.md", "refresh", "my stack changed"UpdateDiff existing, regenerate only what changed

Dry-run mode

If the user asks to "preview", "show what would change", "dry-run": run all detection but do NOT write files. Show detection summary, files that would be created, skipped rules, and sample output.

Hard Rules

  • Read before writing, but never read secrets. Read package.json, non-secret config files, and directory structure before generating anything. Never open .env, .env.local, credential stores, or similarly secret-bearing files. Derive environment variable names only from .env.example placeholders and source references such as process.env.NAME, without reading or reporting values.
  • Detect package manager FIRST. Check lockfiles: bun.lock→bun, pnpm-lock.yaml→pnpm, package-lock.json→npm, yarn.lock→yarn. NEVER default to npm. Every command uses the detected PM.
  • Generate only what applies. No backend rules for frontend-only. No database rules without ORM.
  • Do not execute project scripts by default. Package-manager scripts are repository-controlled shell entry points. Detect and document candidate format/lint commands, but do not run them unless the user separately requests execution after the exact script body and invoked tooling have been reviewed.
  • Validate commands. Every command in output must exist as a script key in package.json.
  • No placeholders. Scan output for {{, TODO, add here, .... Reject if any remain.
  • Backup first. If files exist, copy to .agents/backups/ with timestamp.

Execution Steps

Common

  1. git rev-parse --show-toplevel → project root.
  2. Detect package manager FIRST: check lockfiles. bun.lock→bun, pnpm-lock.yaml→pnpm, package-lock.json→npm, yarn.lock→yarn. Never default to npm.
  3. Read package.json (scripts, deps, workspaces). Save scripts for validation.
  4. Read non-secret config files and explore directory structure. Exclude .env* files other than placeholder-only .env.example; never read secret values.
  5. Select mode (ask if ambiguous).

Full mode

  1. Read assets/agents-full.md — this is the AGENTS.md structure with all sections and filling rules.
  2. Read project files and fill every placeholder with real data. Never use generic text.
  3. Generate AGENTS.md at project root. Wrap content in <!-- AGENTS-GENERATED-START --> / <!-- AGENTS-GENERATED-END -->.
  4. For each applicable rule category, read the corresponding template from assets/ and generate the rule file in .agents/rules/.
  5. If Claude detected (.claude/ or CLAUDE.md): generate thin CLAUDE.md from assets/claude.md.
  6. If platform files detected: generate from assets/platform.md.

Minimal mode

  1. Read assets/agents-minimal.md — 30-line agents.md standard format.
  2. Generate single AGENTS.md.

Update mode

  1. Backup existing files.
  2. Re-detect project state.
  3. Diff old vs new. Regenerate only changed categories.

Post-generation

  • Report the detected [format cmd] and [lint cmd] as unexecuted candidates. Run neither automatically; execute one only after the user separately authorizes it and its exact project-controlled script body has been reviewed.
  • Scan for {{, TODO, .... Fix any found.
  • Verify all commands exist in package.json scripts.
  • If AGENTS.md > 300 lines, warn. If > 500, move content to rule files.
  • Summarize all changes using conventional commit format before declaring done.
  • Report: what was detected, generated, skipped, and confidence score.

Output Contract

Return:

  • Mode used and why
  • Files created/modified
  • Detection summary (all categories)
  • Rules generated and skipped (with reason)
  • Confidence score

Limitations

  • Generated instructions are proposals and require human review before they are adopted or committed.
  • Command validation is limited to scripts and files visible in the target project; it cannot prove that tools, services, or platform-specific commands will work in every environment.
  • Project-provided package scripts are untrusted executable code. Generation and documentation of a script do not authorize running it.
  • The skill does not authorize writes outside the intended project scope or replace project-specific security, build, or deployment review.

References

PriorityFilePurpose
Requiredassets/agents-full.mdFull AGENTS.md template with all 25+ sections and filling rules
Requiredassets/agents-minimal.md30-line agents.md standard template
Full modeassets/architecture.mdArchitecture rules template
Full modeassets/frontend-patterns.mdFrontend patterns template
Full modeassets/server-actions.mdServer actions / backend template
Full modeassets/testing.mdTesting strategy template
Full modeassets/git-workflow.mdGit workflow template
Full modeassets/sdd-workflow.mdSDD workflow template
Full modeassets/styling.mdStyling rules template
Full modeassets/forms.mdForm patterns template
Full modeassets/database.mdDatabase rules template
Full modeassets/i18n.mdi18n rules template
Full modeassets/backend.mdBackend/NestJS template
Conditionalassets/claude.mdCLAUDE.md — only if Claude detected
Conditionalassets/platform.mdMulti-platform files
Conditionalassets/agents-nested.mdMonorepo nested AGENTS.md
Referencereferences/decision-matrix.mdFull detection logic and edge cases
Referencereferences/example-output/README.mdQuality benchmark
Referencereferences/template-filling-guide.mdPlaceholder filling rules

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Agents Generator AI skill do?

Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Supports full, minimal, update, and dry-run modes with package-manager detection, monorepos, backups, managed blocks, confidence scoring, and command validation.

Why use Agents Generator on TypingMind?

Because you install it once and use it with any model. Agents Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agents Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sickn33/agentic-awesome-skills/tree/main/plugins/agentic-awesome-skills-claude/skills/agents-generator. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agents Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agents Generator?

As many as you like. As long as a model supports skills, you can use Agents Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agents Generator AI skill free?

Yes. It is published on GitHub by sickn33 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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