Dx Harness
pproenca/dot-skills
Developer-experience friction auditing and fixing — slow onboarding, repeated manual setup steps, missing bootstrap/reset/seed scripts, undiscoverable conventions.
Generate project-specific AGENTS.md and companion rules by analyzing a codebase.
Install Agents Generator
$ npx skills add sickn33/agentic-awesome-skills --skill agents-generator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills agents-generator --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agents-generator .claude/skills/agents-generator && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "agents-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agents-generator into .claude/skills/agents-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-generator", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agents-generatorType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add sickn33/agentic-awesome-skills --skill agents-generator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills agents-generator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/agents-generator .agents/skills/agents-generator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "agents-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agents-generator into .agents/skills/agents-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-generator", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill agents-generator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills agents-generator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/agents-generator .cursor/skills/agents-generator && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "agents-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agents-generator into .cursor/skills/agents-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-generator", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/sickn33/agentic-awesome-skills.git --path skills/agents-generator--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add sickn33/agentic-awesome-skills --skill agents-generator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills agents-generator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/agents-generator .gemini/skills/agents-generator && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "agents-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agents-generator into .gemini/skills/agents-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-generator", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install sickn33/agentic-awesome-skills agents-generatorInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add sickn33/agentic-awesome-skills --skill agents-generator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/agents-generator .github/skills/agents-generator && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "agents-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agents-generator into .github/skills/agents-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-generator", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add sickn33/agentic-awesome-skills --skill agents-generator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills agents-generator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/agents-generator .opencode/skills/agents-generator && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "agents-generator" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/agents-generator into .opencode/skills/agents-generator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "agents-generator", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
agents-generator- GitHub stars
- 47k
- Used in
- 1 other repo
- Token cost
- ~2.3k tokens
- SKILL.md length
- 913 words
- Files
- 21 (incl. references, assets)
- Skills in repo
- 1,354
- Repo updated
- First seen
- Licence
- MIT
At a glance
Generate project-specific AGENTS.md and companion rules by analyzing a codebase.
- Works in 5 steps: git rev-parse --show-toplevel → project… → Detect package manager FIRST: check… → Read package.json (scripts, deps,… → …
- Tasks that involve Backup and disaster recovery
- SKILL.md covers When to Use, What you get, Activation Contract and Hard Rules, plus 4 more sections
- Calls git
What it does
Agents Generator is an agent skill from sickn33/agentic-awesome-skills. 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.
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 22 other files, including reference files and assets (for example `assets/agents-full.md`, `assets/agents-minimal.md` and `assets/agents-nested.md`).
It sits in Development, covering Backup and disaster recovery, Monorepo tooling and Agent instruction files. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
When your agent uses it
- Tasks that involve Backup and disaster recovery
- Tasks that involve Monorepo tooling
- Tasks that involve Agent instruction files
Example prompts
- “/agents-generator”
Requirements
- Pre-approved tools (allowed-tools): Read, Write, Edit, Bash(ls:*), Bash(git:*), Bash(tree:*), Bash(find:*), Grep, Glob, WebFetch
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- git rev-parse --show-toplevel → project root.
- Detect package manager FIRST: check lockfiles. bun.lock→bun, pnpm-lock.yaml→pnpm, package-lock.json→npm, yarn.lock→yarn. Never default to…
- Read package.json (scripts, deps, workspaces). Save scripts for validation.
- Read non-secret config files and explore directory structure. Exclude .env* files other than placeholder-only .env.example; never read…
- Select mode (ask if ambiguous).
What it can do on your machine
Read from SKILL.md and the folder at commit ec02547. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteEditBash(ls:*)Bash(git:*)Bash(tree:*)Bash(find:*)GrepGlobWebFetch
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
git
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Agents Generator loads about 2.3k tokens when it runs, and up to ~9.9k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 913 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:78
before generating anything. Never open `.env`, `.env.local`, credential stores, or similarly secret-bearing files. Deri - NoteMentions a .env fileSKILL.md:93
nd explore directory structure. Exclude `.env*` files other than placeholder-only `.env.example`; never read secret valu
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from sickn33/agentic-awesome-skills at commit ec02547, republished under its MIT licence (© sickn33). 913 words, ~2,342 tokens.
Download SKILL.mdSave it as
.claude/skills/agents-generator/SKILL.md (or your agent's skills folder). This skill also uses 20 other files; get the full folder from GitHub.- name
- agents-generator
- description
- 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.
- allowed-tools
- Read, Write, Edit, Bash(ls:*), Bash(git:*), Bash(tree:*), Bash(find:*), Grep, Glob, WebFetch
- category
- developer-tools
- risk
- critical
- source
- https://github.com/OJPalenzuela/agents-generator/tree/7a3201208a01bd25e69ad11e665efc1392f5356a
- source_repo
- OJPalenzuela/agents-generator
- source_type
- community
- date_added
- 2026-08-02
- author
- OJPalenzuela
- tags
- agents-md, project-conventions, developer-tools, codebase-analysis, ai-agents
- tools
- claude, cursor, copilot, opencode, codex, gemini
- license
- MIT
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.mdinstead 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 verificationRules 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 says | Mode | Output |
|---|---|---|
| "simple AGENTS.md", "just the basics", "minimal" | Minimal | Single AGENTS.md (~30 lines, no rule files) |
| "full AGENTS.md", "with rules", "complete", or default | Full | AGENTS.md + .agents/rules/*.md |
| "update AGENTS.md", "refresh", "my stack changed" | Update | Diff 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.exampleplaceholders and source references such asprocess.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
git rev-parse --show-toplevel→ project root.- Detect package manager FIRST: check lockfiles.
bun.lock→bun,pnpm-lock.yaml→pnpm,package-lock.json→npm,yarn.lock→yarn. Never default to npm. - Read
package.json(scripts, deps, workspaces). Save scripts for validation. - Read non-secret config files and explore directory structure. Exclude
.env*files other than placeholder-only.env.example; never read secret values. - Select mode (ask if ambiguous).
Full mode
- Read
assets/agents-full.md— this is the AGENTS.md structure with all sections and filling rules. - Read project files and fill every placeholder with real data. Never use generic text.
- Generate
AGENTS.mdat project root. Wrap content in<!-- AGENTS-GENERATED-START -->/<!-- AGENTS-GENERATED-END -->. - For each applicable rule category, read the corresponding template from
assets/and generate the rule file in.agents/rules/. - If Claude detected (
.claude/orCLAUDE.md): generate thinCLAUDE.mdfromassets/claude.md. - If platform files detected: generate from
assets/platform.md.
Show full SKILL.md (330 more words)Show less
Minimal mode
- Read
assets/agents-minimal.md— 30-line agents.md standard format. - Generate single
AGENTS.md.
Update mode
- Backup existing files.
- Re-detect project state.
- 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
| Priority | File | Purpose |
|---|---|---|
| Required | assets/agents-full.md | Full AGENTS.md template with all 25+ sections and filling rules |
| Required | assets/agents-minimal.md | 30-line agents.md standard template |
| Full mode | assets/architecture.md | Architecture rules template |
| Full mode | assets/frontend-patterns.md | Frontend patterns template |
| Full mode | assets/server-actions.md | Server actions / backend template |
| Full mode | assets/testing.md | Testing strategy template |
| Full mode | assets/git-workflow.md | Git workflow template |
| Full mode | assets/sdd-workflow.md | SDD workflow template |
| Full mode | assets/styling.md | Styling rules template |
| Full mode | assets/forms.md | Form patterns template |
| Full mode | assets/database.md | Database rules template |
| Full mode | assets/i18n.md | i18n rules template |
| Full mode | assets/backend.md | Backend/NestJS template |
| Conditional | assets/claude.md | CLAUDE.md — only if Claude detected |
| Conditional | assets/platform.md | Multi-platform files |
| Conditional | assets/agents-nested.md | Monorepo nested AGENTS.md |
| Reference | references/decision-matrix.md | Full detection logic and edge cases |
| Reference | references/example-output/README.md | Quality benchmark |
| Reference | references/template-filling-guide.md | Placeholder filling rules |
© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 20 other files (references, assets) in skills/agents-generator of sickn33/agentic-awesome-skills.
- SKILL.md
- assets/agents-full.md
- assets/agents-minimal.md
- assets/agents-nested.md
- assets/architecture.md
- assets/backend.md
- assets/claude.md
- assets/database.md
- assets/forms.md
- assets/frontend-patterns.md
- assets/git-workflow.md
- assets/i18n.md
- assets/platform.md
- assets/sdd-workflow.md
- assets/server-actions.md
- assets/styling.md
- assets/testing.md
- references/decision-matrix.md
- references/example-output
- … and 2 more
Open the folder on GitHubat commit ec02547
Used in 1 other repository
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Agents Generator next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Agents Generator this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.3k | Automated safety check: Notes | MIT | |
| Dx Harnesspproenca/dot-skills | 215 | — | ~1.5k | Automated safety check: Pass | MIT | |
| Acreadiness Generate Instructionsgithub/awesome-copilot | 40k | 1 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Openiap Workflowshyodotdev/openiap | 154 | — | ~2k | Automated safety check: Pass | MIT | |
| Repo Scaffoldmajiayu000/spellbook | 286 | — | ~651 | Automated safety check: Pass | MIT | |
| SetupAlexZio00/sovereign-skills | 139 | — | ~9.2k | Automated safety check: Pass | MIT |
Similar skills
- Official
Acreadiness Generate Instructions
github/awesome-copilot
Generate tailored AI agent instruction files via AgentRC instructions command.
Openiap Workflows
hyodotdev/openiap
A skill your agent uses for OpenIAP monorepo work that should follow the repository's shared agent workflows, including review-pr, audit-code, audit-security, audit-iapkit, compile-knowledge…
Repo Scaffold
majiayu000/spellbook
Scaffold or standardize a production-ready repository structure with specs, source layout, tests, CI, agent context, config examples, release notes, and operational docs.
Setup
AlexZio00/sovereign-skills
Claude Code infrastructure + agent team setup — rules, hooks, memory, routing, and agent installation from a guided interview.
Scaffold
team-attention/hoyeon
Greenfield project architecture + harness scaffolding for AI Agent productivity.
More from sickn33/agentic-awesome-skills
All 1,354 skills in this repoLiuguang Banlan UI
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
User Thoughts Memory
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
Using LWC Memory and Graphs
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
Find Complementary Founders
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
Cline Pilot
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Content Creator
sickn33/agentic-awesome-skills
Drafts and reviews audience-specific content from supplied brand examples, with local scripts for brand voice and SEO diagnostics, channel templates and a content calendar.
Related
Categories
Questions about Agents Generator
What does Agents Generator do?
Generate project-specific AGENTS.md and companion rules by analyzing a codebase. Agents Generator is an agent skill from sickn33/agentic-awesome-skills.md and companion rules by analyzing a codebase.
When should I use Agents Generator?
Agents Generator fits situations like: tasks that involve Backup and disaster recovery; tasks that involve Monorepo tooling; tasks that involve Agent instruction files.
How do I install Agents Generator in Claude Code?
Run `npx skills add sickn33/agentic-awesome-skills --skill agents-generator -a claude-code`. Or copy the skill folder (skills/agents-generator in sickn33/agentic-awesome-skills) into .claude/skills/agents-generator in your project. Claude Code loads it when a task matches its description.
How do I install Agents Generator in Codex?
Run `npx skills add sickn33/agentic-awesome-skills --skill agents-generator -a codex`. Or copy the skill folder (skills/agents-generator in sickn33/agentic-awesome-skills) into .agents/skills/agents-generator in your project. Codex loads it when a task matches its description.
Can I use Agents Generator in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill agents-generator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agents-generator, .gemini/skills/agents-generator, .github/skills/agents-generator and .opencode/skills/agents-generator in your project.
What does Agents Generator need to run?
Going by SKILL.md and its folder, Agents Generator needs the command-line tools its instructions call (git). Its frontmatter pre-approves these tools: Read, Write, Edit, Bash(ls:*), Bash(git:*), Bash(tree:*), Bash(find:*), Grep, Glob, WebFetch.
Does Agents Generator access the network?
SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Agents Generator safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Agents Generator use?
Agents Generator is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Agents Generator use?
About 2.3k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.5k tokens, read only when the agent opens those files.
What are the alternatives to Agents Generator?
Skills that share tags, products or a category with Agents Generator: Dx Harness (pproenca/dot-skills, 215 stars), Acreadiness Generate Instructions (github/awesome-copilot, 40k stars), Openiap Workflows (hyodotdev/openiap, 154 stars) and Repo Scaffold (majiayu000/spellbook, 286 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Agents Generator?
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,343 GitHub stars. The repository holds 1,354 skills in this directory. The repository was last updated on October 7, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.