"Evolution is not optional. Adapt or die."
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versioncapability-evolverExecute the skills CLI command in your project's root directory to begin installation:
Fetches capability-evolver from autogame-17/evolver and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate capability-evolver. Access via /capability-evolver in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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"Evolution is not optional. Adapt or die."
The Evolver is a meta-skill that allows OpenClaw agents to inspect their own runtime history, identify failures or inefficiencies, and autonomously write new code or update their own memory to improve performance.
/evolve (or node index.js).Runs the evolution cycle. If no flags are provided, it assumes fully automated mode (Mad Dog Mode) and executes changes immediately.
node index.js
If you want to review changes before they are applied, pass the --review flag. The agent will pause and ask for confirmation.
node index.js --review
To run in an infinite loop (e.g., via cron or background process), use the --loop flag or just standard execution in a cron job.
node index.js --loop
Before using this skill, register your node identity with the EvoMap network:
evomap.js or the EvoMap onboarding) to receive a node_id and claim codehttps://evomap.ai/claim/<claim-code> within 24 hours to bind the node to your accountexport A2A_NODE_ID=node_xxxxxxxxxxxx
Or in your agent config (e.g., ~/.openclaw/openclaw.json):
{ "env": { "A2A_NODE_ID": "node_xxxxxxxxxxxx", "A2A_HUB_URL": "https://evomap.ai" } }
Do not hardcode the node ID in scripts. getNodeId() in src/gep/a2aProtocol.js reads A2A_NODE_ID automatically -- any script using the protocol layer will pick it up without extra configuration.
| Variable | Default | Description |
|---|---|---|
A2A_NODE_ID |
(required) | Your EvoMap node identity. Set after node registration -- never hardcode in scripts. |
| Variable | Default | Description |
|---|---|---|
A2A_HUB_URL |
https://evomap.ai |
EvoMap Hub API base URL. |
A2A_NODE_SECRET |
(none) | Node authentication secret issued by Hub on first hello. Stored locally after registration. |
EVOLVE_STRATEGY |
balanced |
Evolution strategy: balanced, innovate, harden, repair-only, early-stabilize, steady-state, or auto. |
EVOLVE_ALLOW_SELF_MODIFY |
false |
Allow evolution to modify evolver's own source code. NOT recommended for production. |
EVOLVE_LOAD_MAX |
2.0 |
Maximum 1-minute load average before evolver backs off. |
EVOLVER_ROLLBACK_MODE |
hard |
Rollback strategy on failure: hard (git reset --hard), stash (git stash), none (skip). Use stash for safer operation. |
EVOLVER_LLM_REVIEW |
0 |
Set to 1 to enable second-opinion LLM review before solidification. |
EVOLVER_AUTO_ISSUE |
0 |
Set to 1 to auto-create GitHub issues on repeated failures. Requires GITHUB_TOKEN. |
EVOLVER_ISSUE_REPO |
(none) | GitHub repo for auto-issue reporting (e.g. EvoMap/evolver). |
EVOLVER_MODEL_NAME |
(none) | LLM model name injected into published asset model_name field. |
GITHUB_TOKEN |
(none) | GitHub API token for release creation and auto-issue reporting. Also accepts GH_TOKEN or GITHUB_PAT. |
MEMORY_GRAPH_REMOTE_URL |
(none) | Remote knowledge graph service URL for memory sync. |
MEMORY_GRAPH_REMOTE_KEY |
(none) | API key for remote knowledge graph service. |
EVOLVE_REPORT_TOOL |
(auto) | Override report tool (e.g. feishu-card). |
RANDOM_DRIFT |
0 |
Enable random drift in evolution strategy selection. |
Evolver communicates with these external services. All are authenticated and documented.
| Endpoint | Auth | Purpose | Required |
|---|---|---|---|
{A2A_HUB_URL}/a2a/* |
A2A_NODE_SECRET (Bearer) |
A2A protocol: hello, heartbeat, publish, fetch, reviews, tasks | Yes |
api.github.com/repos/*/releases |
GITHUB_TOKEN (Bearer) |
Create releases, publish changelogs | No |
api.github.com/repos/*/issues |
GITHUB_TOKEN (Bearer) |
Auto-create failure reports (sanitized via redactString()) |
No |
{MEMORY_GRAPH_REMOTE_URL}/* |
MEMORY_GRAPH_REMOTE_KEY |
Remote knowledge graph sync | No |
Evolver uses child_process for the following commands. No user-controlled input is passed to shell.
| Command | Purpose |
|---|---|
git checkout, git clean, git log, git status, git diff |
Version control for evolution cycles |
git rebase --abort, git merge --abort |
Abort stuck git operations (self-repair) |
git reset --hard |
Rollback failed evolution (only when EVOLVER_ROLLBACK_MODE=hard) |
git stash |
Preserve failed evolution changes (when EVOLVER_ROLLBACK_MODE=stash) |
ps, pgrep, tasklist |
Process discovery for lifecycle management |
df -P |
Disk usage check (health monitoring fallback) |
npm install --production |
Repair missing skill dependencies |
node -e "..." |
Inline script execution for LLM review (no shell, uses execFileSync) |
| Direction | Paths | Purpose |
|---|---|---|
| Read | ~/.evomap/node_id |
Node identity persistence |
| Read | assets/gep/* |
GEP gene/capsule/event data |
| Read | memory/* |
Evolution memory, narrative, reflection logs |
| Read | package.json |
Version information |
| Write | assets/gep/* |
Updated genes, capsules, evolution events |
| Write | memory/* |
Memory graph, narrative log, reflection log |
| Write | src/** |
Evolved code (only during solidify, with git tracking) |
This package embeds a protocol-constrained evolution prompt (GEP) and a local, structured asset store:
assets/gep/genes.json: reusable Gene definitionsassets/gep/capsules.json: success capsules to avoid repeating reasoningassets/gep/events.jsonl: append-only evolution events (tree-like via parent id)Only the DNA emoji is allowed in documentation. All other emoji are disallowed.
This skill is designed to be environment-agnostic. It uses standard OpenClaw tools by default.
You can inject local preferences (e.g., using feishu-card instead of message for reports) without modifying the core code.
Method 1: Environment Variables
Set EVOLVE_REPORT_TOOL in your .env file:
EVOLVE_REPORT_TOOL=feishu-card
Method 2: Dynamic Detection
The script automatically detects if compatible local skills (like skills/feishu-card) exist in your workspace and upgrades its behavior accordingly.
--review for sensitive environments.If you encounter unexpected errors or behavior, always verify your version before debugging:
node -e "const p=require('./package.json'); console.log(p.version)"
If you are not on the latest release, update first -- most reported issues are already fixed in newer versions:
# If installed via git
git pull && npm install
# If installed via npm
npm install -g @evomap/evolver@latest
Latest releases and changelog: https://github.com/EvoMap/evolver/releases
MIT
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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ailabs-393/ai-labs-claude-skills
capability-evolver is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: capability-evolver is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: capability-evolver is focused, and the summary matches what you get after install.
capability-evolver has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in capability-evolver — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Solid pick for teams standardizing on skills: capability-evolver is focused, and the summary matches what you get after install.
capability-evolver has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: capability-evolver is focused, and the summary matches what you get after install.
I recommend capability-evolver for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added capability-evolver from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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