Chalk Labs
Need help deploying skill-creation?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/mizuharaa-skill-creation
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
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What's inside
- Skill name
skill-creation- Description
- None
- License
- MIT
- Instructions
- 19 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- missing YAML frontmatter
- name: missing
- description: missing
Files (1)
- SKILL.md
SKILL.md (first lines)
# skill-creation Name it, drop it, ship it, reuse it. A capability becomes a skill the moment it has a name, a trigger verb, and a card. - **Trigger:** /newskill - **Command:** `python skills/engine.py add <name> "<one-line desc>" --branch <branch> --trigger /<verb>` - **Earn:** skills start as *candidate*, become *learning* on first use, and are **EARNED (active) after 3 uses** — `python skills/engine.py use <name>` each time. ## Process 1. **Name it** — a verb-shaped name (`vault-gardening`, not `misc-helper-2`). 2. **Drop it** — run the add command; it scaffolds `skills/<name>/SKILL.md`. 3. **Ship it** — fill the card's Process section with the exact commands that worked, while the solution is fresh. Link it: `python skills/engine.py link <name>`. 4. **Reuse it** — record every real use. Three uses = earned. Unused vs the current goal = decays at prune (2 strikes → archived).
From mizuharaa/wisp_os, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 7, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/mizuharaa/wisp_os
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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SkillCFreshness: CClaude Code +9 - 0.467score
recovery-supervisor
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Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
skill-creation. Agent Mart. https://agentmart.dev/skills/mizuharaa-skill-creation (last updated 2026-10-24)