Docs Seeker
einverne/dotfiles
Searching internet for technical documentation using llms.txt standard, GitHub repositories via Repomix, and parallel exploration.
Optimize documentation for AI coding assistants and LLMs. An agent skill from Sidiora-Labs/centra-llm-agents.
Install LLM Docs Optimizer
$ npx skills add Sidiora-Labs/centra-llm-agents --skill llm-docs-optimizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Sidiora-Labs/centra-llm-agents llm-docs-optimizer --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/Sidiora-Labs/centra-llm-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/protocol/skills/llm-docs-optimizer .claude/skills/llm-docs-optimizer && 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 "llm-docs-optimizer" agent skill from https://github.com/Sidiora-Labs/centra-llm-agents/tree/main/protocol/skills/llm-docs-optimizer into .claude/skills/llm-docs-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-docs-optimizer", 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/Sidiora-Labs/centra-llm-agents/tree/main/protocol/skills/llm-docs-optimizerType 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 Sidiora-Labs/centra-llm-agents --skill llm-docs-optimizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Sidiora-Labs/centra-llm-agents llm-docs-optimizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Sidiora-Labs/centra-llm-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/protocol/skills/llm-docs-optimizer .agents/skills/llm-docs-optimizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "llm-docs-optimizer" agent skill from https://github.com/Sidiora-Labs/centra-llm-agents/tree/main/protocol/skills/llm-docs-optimizer into .agents/skills/llm-docs-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-docs-optimizer", 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 Sidiora-Labs/centra-llm-agents --skill llm-docs-optimizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Sidiora-Labs/centra-llm-agents llm-docs-optimizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Sidiora-Labs/centra-llm-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/protocol/skills/llm-docs-optimizer .cursor/skills/llm-docs-optimizer && 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 "llm-docs-optimizer" agent skill from https://github.com/Sidiora-Labs/centra-llm-agents/tree/main/protocol/skills/llm-docs-optimizer into .cursor/skills/llm-docs-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-docs-optimizer", 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/Sidiora-Labs/centra-llm-agents.git --path protocol/skills/llm-docs-optimizer--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 Sidiora-Labs/centra-llm-agents --skill llm-docs-optimizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Sidiora-Labs/centra-llm-agents llm-docs-optimizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Sidiora-Labs/centra-llm-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/protocol/skills/llm-docs-optimizer .gemini/skills/llm-docs-optimizer && 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 "llm-docs-optimizer" agent skill from https://github.com/Sidiora-Labs/centra-llm-agents/tree/main/protocol/skills/llm-docs-optimizer into .gemini/skills/llm-docs-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-docs-optimizer", 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 Sidiora-Labs/centra-llm-agents llm-docs-optimizerInstalls 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 Sidiora-Labs/centra-llm-agents --skill llm-docs-optimizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Sidiora-Labs/centra-llm-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/protocol/skills/llm-docs-optimizer .github/skills/llm-docs-optimizer && 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 "llm-docs-optimizer" agent skill from https://github.com/Sidiora-Labs/centra-llm-agents/tree/main/protocol/skills/llm-docs-optimizer into .github/skills/llm-docs-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-docs-optimizer", 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 Sidiora-Labs/centra-llm-agents --skill llm-docs-optimizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Sidiora-Labs/centra-llm-agents llm-docs-optimizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Sidiora-Labs/centra-llm-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/protocol/skills/llm-docs-optimizer .opencode/skills/llm-docs-optimizer && 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 "llm-docs-optimizer" agent skill from https://github.com/Sidiora-Labs/centra-llm-agents/tree/main/protocol/skills/llm-docs-optimizer into .opencode/skills/llm-docs-optimizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "llm-docs-optimizer", 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
llm-docs-optimizer- GitHub stars
- 115
- Token cost
- ~5.4k tokens
- SKILL.md length
- 2,017 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Optimize documentation for AI coding assistants and LLMs. An agent skill from Sidiora-Labs/centra-llm-agents.
- Works in 12 steps: Ask About llms.txt Generation (C7Score… → Analyze Current Documentation → Generate Developer Questions → …
- Asked to improve
- SKILL.md covers Understanding C7Score, Core Workflow, Common Transformation Patterns and README Structure for High Scores, plus 7 more sections
- Runs Python scripts from its folder; calls python; reaches github.com
What it does
LLM Docs Optimizer is an agent skill from Sidiora-Labs/centra-llm-agents. Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring. Use when asked to improve, optimize, or enhance documentation for AI assistants, LLMs, c7score, Context7, or when creating llms.txt files. Also use for documentation quality analysis, README optimization, or ensuring docs follow best practices for LLM retrieval systems.
Its SKILL.md is about 5.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `examples/sample_llmstxt.md`, `examples/sample_readme.md` and `references/c7score_metrics.md`).
It sits in Marketing & SEO, covering AI search optimization and Technical documentation. The repository describes itself as: A stateful AI operating system for serious, long-horizon work.
When your agent uses it
- Asked to improve
- Enhance documentation for AI assistants
- Creating llms.txt files
- Documentation quality analysis
Example prompts
- “/llm-docs-optimizer”
Requirements
- Python 3
Workflow steps
12 steps, taken from the step headings in SKILL.md.
- Ask About llms.txt Generation (C7Score Optimization Only)
- Analyze Current Documentation
- Generate Developer Questions
- Map Questions to Snippets
- Optimize Documentation
- Validate Optimizations
- Evaluate C7Score Impact
- Analyze Project Structure
- Determine Project Category
- Create the Structure
- Format Links Properly
- Organize Sections by Priority
What it can do on your machine
Read from SKILL.md and the folder at commit 01c6aef. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
github.com
Also links to:
llmstxt.orgllmstxt.site
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
LLM Docs Optimizer loads about 5.4k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 129 tokens; SKILL.md has 2,017 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 passed
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); the scripts in this folder are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,017 words (~5,441 tokens).
“This skill optimizes project documentation and README files for AI coding assistants and LLMs like Claude, GitHub Copilot, and others. It improves documentation quality through multiple approaches: c7score optimization (Context7's quality benchmark), llms.txt file generation for LLM navigation, question-driven content…”
- name
- llm-docs-optimizer
- version
- 1.3.0
Files
SKILL.md and 7 other files (scripts, references) in protocol/skills/llm-docs-optimizer of Sidiora-Labs/centra-llm-agents.
- SKILL.md
- SKILL.mtx
- examples/sample_llmstxt.md
- examples/sample_readme.md
- references/c7score_metrics.md
- references/llmstxt_format.md
- references/optimization_patterns.md
- scripts/analyze_docs.py
Open the folder on GitHubat commit 01c6aef
Compare with similar skills
LLM Docs Optimizer 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 |
|---|---|---|---|---|---|---|
| LLM Docs Optimizer this skillSidiora-Labs/centra-llm-agents | 115 | — | ~5.4k | Automated safety check: Pass | Custom licence | |
| Docs Seekereinverne/dotfiles | 121 | 1 repos | ~1.4k | Automated safety check: Pass | GPL-3.0 | |
| GitHubkostja94/marketing-skills | 1k | — | ~4.5k | Automated safety check: Pass | MIT | |
| GitHub Readmethatrebeccarae/claude-marketing | 162 | — | ~2.9k | Automated safety check: Pass | MIT | |
| Ralph Docsmikeyobrien/ralph-orchestrator | 3.2k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Sync Public DocsCaldis/react-zmage | 946 | — | ~3.3k | Automated safety check: Pass | MIT |
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Introspect, explain, and improve Ralph Orchestrator using its published llms.txt doc map.
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Questions about LLM Docs Optimizer
What does LLM Docs Optimizer do?
Optimize documentation for AI coding assistants and LLMs. An agent skill from Sidiora-Labs/centra-llm-agents. LLM Docs Optimizer is an agent skill from Sidiora-Labs/centra-llm-agents. Optimize documentation for AI coding assistants and LLMs.
When should I use LLM Docs Optimizer?
LLM Docs Optimizer fits situations like: asked to improve; enhance documentation for AI assistants; creating llms.txt files; documentation quality analysis.
How do I install LLM Docs Optimizer in Claude Code?
Run `npx skills add Sidiora-Labs/centra-llm-agents --skill llm-docs-optimizer -a claude-code`. Or copy the skill folder (protocol/skills/llm-docs-optimizer in Sidiora-Labs/centra-llm-agents) into .claude/skills/llm-docs-optimizer in your project. Claude Code loads it when a task matches its description.
How do I install LLM Docs Optimizer in Codex?
Run `npx skills add Sidiora-Labs/centra-llm-agents --skill llm-docs-optimizer -a codex`. Or copy the skill folder (protocol/skills/llm-docs-optimizer in Sidiora-Labs/centra-llm-agents) into .agents/skills/llm-docs-optimizer in your project. Codex loads it when a task matches its description.
Can I use LLM Docs Optimizer 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 Sidiora-Labs/centra-llm-agents --skill llm-docs-optimizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/llm-docs-optimizer, .gemini/skills/llm-docs-optimizer, .github/skills/llm-docs-optimizer and .opencode/skills/llm-docs-optimizer in your project.
What does LLM Docs Optimizer need to run?
Going by SKILL.md and its folder, LLM Docs Optimizer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does LLM Docs Optimizer access the network?
SKILL.md names 3 domains. In commands or code: github.com; the agent is likely to contact it when it follows the instructions. As links in the text: llmstxt.org and llmstxt.site. This is read from the text; nothing was executed.
Is LLM Docs Optimizer safe to install?
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does LLM Docs Optimizer use?
LLM Docs Optimizer has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does LLM Docs Optimizer use?
About 5.4k tokens (SKILL.md is roughly 22k 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 8.3k tokens, read only when the agent opens those files.
What are the alternatives to LLM Docs Optimizer?
Skills that share tags, products or a category with LLM Docs Optimizer: Docs Seeker (einverne/dotfiles, 121 stars), GitHub (kostja94/marketing-skills, 1k stars), GitHub Readme (thatrebeccarae/claude-marketing, 162 stars) and Ralph Docs (mikeyobrien/ralph-orchestrator, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains LLM Docs Optimizer?
Sidiora-Labs (a GitHub organization) maintains it in Sidiora-Labs/centra-llm-agents, which has 115 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 18, 2026.
Source: Sidiora-Labs/centra-llm-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.