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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/nakane1chome-agent-optimize
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
Use cases: documents, agent-building
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agent-optimize
What's inside
- Skill name
agent-optimize- Description
- Optimize a document for AI agent consumption. Restructures prose into formats that agents parse efficiently while preserving meaning.
- License
- Unlicense
- Instructions
- 41 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
Optimize the target document(s) at `$ARGUMENTS` for agent consumption. **Stop after each stage and have changes reviewed with user.** > **Note**: The goal is agent efficiency, not stripping all prose. Some content is genuinely better as narrative — context-setting introductions, nuanced trade-offs, philosophy notes. Optimize the structure agents need to parse; preserve the prose humans need to understand intent. 0. **Read and assess the document** (developer confirms) - Read the target document and identify its current structure - What sections are prose-heavy and could benefit from structured formats? - What relationships between concepts are buried in narrative? - Confirm understanding and optimization targets before proceeding 1. **Replace verbose prose with structured formats** (agent leads with approval) - Are there narrative paragraphs that would be clearer as tables, diagrams, or bullet lists? - Convert where meaning is preserved — don't force structure where prose is genuinely better - Use structured formats agents parse well (clear headers, consistent patterns) 2. **Compress token usage** (agent leads with approval) - Is there redundant phrasing that can be removed without losing information? - Are there verbose explanations that could be stated more directly? - Prefer concise, direct language over verbose explanation 3. **Make relationships explicit** (agent leads with approval) - Are there implicit references between sections that should be explicit cross-references? - Add hierarchy indicators to show parent/child relationships - Prefer visual structure over narrative explanation ## Pipeline Position This skill sits at the end of the composition pipeline: **flesh-out** -> **review-steps** -> **strong-edit** -> **agent-optimize**. Run it after the content is complete and reviewed — it restructures for consumption, not correctness. ## When to Use This vs Other Skills | Goal | Use | |------|-----| | Raw notes need structure and expansion | **flesh-out** | | Draft needs polish and consistency | **review-steps** | | Complete draft needs critical evaluation | **strong-edit** | | Finalized document needs agent-friendly restructuring | **agent-optimize** |
From nakane1chome/claude-skills, Unlicense.
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Signals
- Stars
- 0
- Forks
- 1
- Open issues
- 0
- Last commit (this folder)
- Feb 8, 2026 (8 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Unlicense
- Repository
- github.com/nakane1chome/claude-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.561score
light-v-structure
nakane1chome
Defines V-model project structure conventions.
SkillAFreshness: AClaude Code +9 - 0.521score
dev-record
nakane1chome
Record agent activity during Claude Code sessions.
SkillBFreshness: BClaude Code +9 - 0.516score
no-pre-existing-failures
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Test accountability policy.
SkillBFreshness: BClaude Code +9 - 0.409score
flesh-out
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Transform raw/crude document drafts into structured content.
SkillDFreshness: DClaude Code +9 - 0.409score
review-skill
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Reviews a SKILL.md file or skill directory for quality, correctness, and alignment with Claude Code skill conventions.
SkillDFreshness: DClaude Code +9 - 0.409score
review-steps
nakane1chome
Structured review for polishing documents.
SkillDFreshness: DClaude Code +9
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
agent-optimize skill. Agent Mart. https://agentmart.dev/skills/nakane1chome-agent-optimize (last updated 2026-10-24)