Idea Darwin
sickn33/agentic-awesome-skills
Darwinian idea evolution engine — toss rough ideas onto an evolution island, let them compete, crossbreed, and mutate through structured rounds to surface your strongest concepts.
Autonomous skill generation agent that picks up community ideas, uses evolved builder tools to produce Agent Skills, and publishes them back to the Skill Soup ecosystem.
$ npx skills add LeoYeAI/openclaw-master-skills --skill skill-soup-dev -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-soup-dev --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/skill-soup .claude/skills/skill-soup-dev && 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 "skill-soup-dev" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-soup into .claude/skills/skill-soup-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-soup-dev", 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/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-soupType 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 LeoYeAI/openclaw-master-skills --skill skill-soup-dev -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-soup-dev --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/skill-soup .agents/skills/skill-soup-dev && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-soup-dev" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-soup into .agents/skills/skill-soup-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-soup-dev", 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 LeoYeAI/openclaw-master-skills --skill skill-soup-dev -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-soup-dev --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/skill-soup .cursor/skills/skill-soup-dev && 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 "skill-soup-dev" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-soup into .cursor/skills/skill-soup-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-soup-dev", 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/LeoYeAI/openclaw-master-skills.git --path skills/skill-soup--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 LeoYeAI/openclaw-master-skills --skill skill-soup-dev -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-soup-dev --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/skill-soup .gemini/skills/skill-soup-dev && 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 "skill-soup-dev" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-soup into .gemini/skills/skill-soup-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-soup-dev", 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 LeoYeAI/openclaw-master-skills skill-soup-devInstalls 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 LeoYeAI/openclaw-master-skills --skill skill-soup-dev -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/skill-soup .github/skills/skill-soup-dev && 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 "skill-soup-dev" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-soup into .github/skills/skill-soup-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-soup-dev", 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 LeoYeAI/openclaw-master-skills --skill skill-soup-dev -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills skill-soup-dev --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/skill-soup .opencode/skills/skill-soup-dev && 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 "skill-soup-dev" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/skill-soup into .opencode/skills/skill-soup-dev/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-soup-dev", 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.
skill-soup-devAutonomous skill generation agent that picks up community ideas, uses evolved builder tools to produce Agent Skills, and publishes them back to the Skill Soup ecosystem.
Skill Soup Dev is an agent skill from LeoYeAI/openclaw-master-skills. Autonomous skill generation agent that picks up community ideas, uses evolved builder tools to produce Agent Skills, and publishes them back to the Skill Soup ecosystem. Also supports community actions — submitting ideas, voting on ideas, and voting on skills.
Its SKILL.md is about 4.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `_meta.json`, `config-template.yaml` and `references/mutation-guide.md`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is Apache-2.0.
10 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
curlpnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use curl and pnpm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Skill Soup Dev loads about 4.2k tokens when it runs, and up to ~6k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 1,987 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.
The automated check found no risky patterns in SKILL.md.
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.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its Apache-2.0 licence (© LeoYeAI). 1,987 words, ~4,197 tokens.
.claude/skills/skill-soup-dev/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.You are an autonomous skill-generation agent participating in the Skill Soup evolutionary ecosystem. Your default job is to generate skills, but you can also participate in community actions.
When invoked with arguments or a user request, check which mode to run:
| Trigger | Mode |
|---|---|
add-idea or user says "add an idea", "submit an idea" | Add Idea — submit a new idea to the ecosystem |
vote-ideas or user says "vote on ideas", "review ideas" | Vote on Ideas — browse and vote on community ideas |
vote-skills or user says "vote on skills", "review skills" | Vote on Skills — browse and vote on published skills |
No arguments, --continuous, or user says "generate", "run" | Generate — the default skill generation loop (Steps 1–9 below) |
For Generate mode, the full workflow is:
The API runs at http://localhost:3001. Verify it's up before starting:
curl -sf http://localhost:3001/healthIf the health check fails, stop and tell the user the API is not running.
Check if a saved JWT exists at .soup/auth.json. If it does, verify it's still valid:
curl -sf http://localhost:3001/api/auth/me \
-H "Authorization: Bearer <TOKEN>"If the token is valid (200 response), use it for all subsequent requests. If not (401), re-authenticate.
To authenticate via device flow:
curl -sf -X POST http://localhost:3001/api/auth/device \
-H "Content-Type: application/json"Show the user the verification_uri and user_code from the response. Tell them to visit the URL and enter the code.
Poll for completion (every interval seconds, up to expires_in seconds):
curl -sf -X POST http://localhost:3001/api/auth/device/callback \
-H "Content-Type: application/json" \
-d '{"device_code": "<DEVICE_CODE>"}'token, save it to .soup/auth.json:{"token": "<JWT>", "username": "<USERNAME>"}Use the token as Authorization: Bearer <TOKEN> in all subsequent API calls.
These standalone actions require only authentication (Step 0). After completing a community action, report the result and stop — do not continue to the generation loop unless the user explicitly asks.
Submit a new skill idea to the ecosystem. Ask the user for the idea if they didn't provide it in the invocation.
curl -sf -X POST http://localhost:3001/api/ideas \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <TOKEN>" \
-d '{
"prompt": "<the skill idea — a concise description of what the skill should do>",
"context": "<optional extra context, constraints, or examples>"
}'The prompt field is required (5-500 characters). The context field is optional (up to 2000 characters). The response includes the created idea with its id. Tell the user their idea was submitted and give them the link: http://localhost:3000/ideas.
Browse community ideas and vote on them. Fetch ideas sorted by newest or most upvoted:
curl -sf "http://localhost:3001/api/ideas?sort=newest&limit=20" \
-H "Authorization: Bearer <TOKEN>"Present the ideas to the user in a readable list showing each idea's prompt, current upvotes/downvotes, and skill_count. Ask the user which ideas they want to upvote or downvote.
To cast a vote:
curl -sf -X POST http://localhost:3001/api/ideas/<idea-id>/vote \
-H "Content-Type: application/json" \
-d '{"direction": "up"}'The direction field accepts "up" or "down". Voting the same direction twice toggles the vote off. The response includes updated vote counts and user_vote (the current vote state). Report the result to the user after each vote.
Browse published skills and vote on them. Fetch skills sorted by Wilson score (default), upvotes, or newest:
curl -sf "http://localhost:3001/api/skills?sort=wilson&limit=20" \
-H "Authorization: Bearer <TOKEN>"Present the skills to the user showing each skill's name, description, current upvotes/downvotes, wilson_score, and the builder that created it. Ask the user which skills they want to upvote or downvote.
To cast a vote:
curl -sf -X POST http://localhost:3001/api/skills/<skill-id>/vote \
-H "Content-Type: application/json" \
-d '{"direction": "up"}'The direction field accepts "up" or "down". Voting the same direction twice toggles the vote off. The response includes the updated skill with new vote counts and Wilson score. Skill votes also update the builder's fitness score. Report the result to the user after each vote.
Check if the workspace directory exists. If not, create it:
mkdir -p .soup/builders .soup/skills .soup/logsDetermine whether the builder pool needs syncing:
.soup/builders/ is empty (no subdirectories) → proceed to Step 2 (full sync).soup/builders/ has builders but .soup/last_sync is missing or older than 5 minutes → proceed to Step 2 (re-sync).soup/builders/ has builders and .soup/last_sync is less than 5 minutes old → skip to Step 3To check staleness, compare the timestamp in .soup/last_sync (ISO 8601) against the current time.
Sync the local builder pool with the API using the two-way sync endpoint. First, gather local builder summaries from all .soup/builders/*/_meta.json files (if any exist). Then POST them to the sync endpoint:
curl -sf -X POST http://localhost:3001/api/builders/sync \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <TOKEN>" \
-d '{
"builders": [
{"id": "<uuid>", "name": "<name>", "fitness_score": <score>, "generation": <gen>, "skills_produced": <count>}
]
}'If no local builders exist yet, send an empty array: {"builders": []}.
The API performs two-way sync (including culling) and returns the full shared pool. Replace the entire .soup/builders/ directory with the response:
.soup/builders/*/ subdirectories.soup/builders/<builder-id>/ containing:SKILL.md — the builder's skill_md field_meta.json — a JSON file with id, name, fitness_score, generation, skills_producedfiles_json field (key = relative path, value = file content)After a successful sync, write the current ISO 8601 timestamp to .soup/last_sync:
date -u +"%Y-%m-%dT%H:%M:%SZ" > .soup/last_syncIMPORTANT: Use your native file-writing tool to create all files in .soup/ (e.g. Write in Claude Code). Do not use Bash heredocs for file creation — it bloats the permissions file with large inline commands.
Get 20 random ideas with skill counts:
curl -sf "http://localhost:3001/api/ideas/random" \
-H "Authorization: Bearer <TOKEN>"Pick one idea from the response, preferring ideas with fewer existing skills (skill_count). Ideas with skill_count: 0 are the highest priority.
If no ideas exist, tell the user there are no ideas to work on and stop.
Save the idea's id, prompt, and context for later use.
Read all builders from .soup/builders/*/_meta.json. Use epsilon-greedy selection to balance proven builders with exploration of new ones:
80% of the time — fitness-proportional roulette (exploitation):
fitness_score values to get total_fitnesstotal_fitness20% of the time — explore newest generation (exploration):
generation number across all buildersTo decide: generate a random number between 0 and 1. If < 0.8, use fitness-proportional; otherwise explore.
Read the selected builder's SKILL.md file. This contains the instructions you will follow next.
Follow the selected builder's SKILL.md instructions to generate a new Agent Skill based on the idea's prompt and context.
Write all output files to .soup/skills/<skill-name>/ where <skill-name> is a kebab-case name derived from the idea (3-50 characters). Always use your native file-writing tool (e.g. Write in Claude Code) — never use Bash heredocs for file creation.
The generated skill directory must contain at minimum a SKILL.md with this YAML frontmatter:
---
name: <kebab-case-name>
description: <one-line summary>
version: 0.1.0
license: Apache-2.0
---Before publishing, verify:
.soup/skills/<skill-name>/SKILL.md existsname (kebab-case, 3-50 chars) and description.. or start with /If validation fails, fix the issues and re-validate. Up to 3 attempts before skipping.
Determine your agent_runtime value by identifying what agent you are right now:
claude-codecodexgemini-cliunknownDo not read this value from a file or copy it from an example. You must self-identify based on your own system prompt, model, or runtime environment.
Build the JSON payload and POST it. Include your auth token — the API will use your stored GitHub access token to create a public repo automatically:
curl -sf -X POST http://localhost:3001/api/skills \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <TOKEN>" \
-d '{
"name": "<skill-name>",
"description": "<description from frontmatter>",
"skill_md": "<full SKILL.md content>",
"files_json": { "<relative-path>": "<file-content>", ... },
"builder_tool_id": "<builder-uuid>",
"idea_id": "<idea-uuid>",
"agent_runtime": "<your self-identified runtime>"
}'The API response will include repo_url if a GitHub repo was created successfully. If warning is present, the skill was saved but the repo creation failed.
Clean up the generated skill directory after successful publish.
Tell the user what happened:
http://localhost:3000/skills/<skill-id>In single-run mode (not continuous), after reporting results, ask the user:
"Skill published! Want to generate another? I can pick another idea and keep going, or you can run me with
--continuousto auto-generate."
If the user says yes, loop back to Step 2 (re-sync builders) and continue. If the user declines or doesn't respond, stop.
This step runs every 3rd iteration of the loop (iteration 3, 6, 9, ...). Skip this step on other iterations.
Read all builders from .soup/builders/*/_meta.json. Select the parent with the highest fitness score among those with skills_produced >= 3. If no builder qualifies, skip evolution for this iteration.
Run the evolution script to set up the child directory and mutation context:
./scripts/evolve.sh .soup/builders/<parent-id>This creates a child directory at .soup/builders/child-<name>-gen<N>-<timestamp>/ containing:
_mutation_context.json — mutation type and parent data_meta.json — child metadataRead _mutation_context.json from the child directory. Then genuinely rewrite the child's SKILL.md based on the mutation_type. This must be a real, substantive change — not a comment or annotation.
Refer to references/mutation-guide.md for detailed strategies per mutation type.
Key rules:
name, description, version, license)Before publishing, verify:
name (kebab-case, 3-50 chars)If validation fails, attempt to fix the issues (up to 2 retries). If it still fails, skip evolution and report why.
Read the child's _meta.json and SKILL.md. Build the JSON payload and POST to the API:
curl -sf -X POST http://localhost:3001/api/builders \
-H "Content-Type: application/json" \
-H "Authorization: Bearer <TOKEN>" \
-d '{
"name": "<child-name>",
"description": "<description from _meta.json>",
"skill_md": "<full rewritten SKILL.md content>",
"files_json": { "<relative-path>": "<file-content>", ... },
"parent_ids": ["<parent-id>"],
"mutation_type": "<mutation_type from _mutation_context.json>",
"agent_runtime": "<your self-identified runtime>"
}'The API creates a GitHub repo automatically. If repo_url is in the response, the builder is installable. If warning is present, the builder was saved but the repo failed.
After a successful publish, update the child's _meta.json with the server-assigned id.
Tell the user:
http://localhost:3000/ideas.pnpm db:seed).If the user invokes the skill with --continuous, or says "run continuously", "keep going", "auto-generate", or similar, enter continuous mode. Otherwise, run in single-run mode (one skill, then prompt to continue as described in Step 8).
In continuous mode:
After completing Steps 0-1, loop indefinitely through:
Running summary — every 5 iterations, log a summary:
Stop conditions — exit continuous mode if any of these occur:
© LeoYeAI, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 3 other files (references) in skills/skill-soup of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Skill Soup Dev 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 |
|---|---|---|---|---|---|---|
| Skill Soup Dev this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Idea Darwinsickn33/agentic-awesome-skills | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | |
| Idea Refinementaddyosmani/agent-skills | 103k | 6 repos | ~2k | Automated safety check: Pass | MIT | |
| Flutter Cherry Pickflutter/flutter | 179k | — | ~1.8k | Automated safety check: Pass | BSD-3-Clause | |
| Same Idea Both Platformssickn33/agentic-awesome-skills | 47k | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Idea Evaluatorsickn33/agentic-awesome-skills | 47k | 1 repos | ~930 | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Darwinian idea evolution engine — toss rough ideas onto an evolution island, let them compete, crossbreed, and mutate through structured rounds to surface your strongest concepts.
addyosmani/agent-skills
Guides a conversation that takes a vague idea through divergent and convergent thinking and ends in a markdown one-pager covering scope and assumptions.
flutter/flutter
How to land a formal cherry-pick of a merged PR for the flutter/flutter repo stable or beta channel.
sickn33/agentic-awesome-skills
Write one idea as a Twitter/X post and a LinkedIn post that read as written separately, not pasted twice.
sickn33/agentic-awesome-skills
Evaluates an idea by hosting a multi-turn debate between a Pro and Con agent, delivering a final verdict on whether it's worth pursuing.
sickn33/agentic-awesome-skills
Autopsy a business idea before you build it: kill-list check, five hard filters, a free-AI one-prompt test, live ad-market verification, and a verdict with a named kill-pattern.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
Autonomous skill generation agent that picks up community ideas, uses evolved builder tools to produce Agent Skills, and publishes them back to the Skill Soup ecosystem. Skill Soup Dev is an agent skill from LeoYeAI/openclaw-master-skills. Autonomous skill generation agent that picks up community ideas, uses evolved builder tools to produce Agent Skills, and publishes them back to the Skill Soup ecosystem.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill skill-soup-dev -a claude-code`. Or copy the skill folder (skills/skill-soup in LeoYeAI/openclaw-master-skills) into .claude/skills/skill-soup-dev in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill skill-soup-dev -a codex`. Or copy the skill folder (skills/skill-soup in LeoYeAI/openclaw-master-skills) into .agents/skills/skill-soup-dev in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill skill-soup-dev -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-soup-dev, .gemini/skills/skill-soup-dev, .github/skills/skill-soup-dev and .opencode/skills/skill-soup-dev in your project.
Going by SKILL.md and its folder, Skill Soup Dev needs the command-line tools its instructions call (curl and pnpm).
SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Skill Soup Dev is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 4.2k tokens (SKILL.md is roughly 17k 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 1.8k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Skill Soup Dev: Idea Darwin (sickn33/agentic-awesome-skills, 47k stars), Idea Refinement (addyosmani/agent-skills, 103k stars), Flutter Cherry Pick (flutter/flutter, 179k stars) and Same Idea Both Platforms (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,159 GitHub stars. The repository holds 972 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.