llm-wiki agent skill by praneybehl
Builds and maintains an LLM-curated knowledge base as linked Markdown from papers, articles, and notes, and answers questions with citations.
At a glance
| Publisher | praneybehl |
|---|---|
| Repository | github.com/praneybehl/llm-wiki-plugin |
| Category | Productivity and Knowledge Work |
| License | MIT |
| Last commit | September 13, 2026 (repository) |
| SKILL.md | 181 lines, 3,141 words |
| Bundled files | 37 files, including references, scripts, assets or templates |
| Quality score | 80/100 · B Passes all seven graded checks |
| Security scan | Not scanned |
| README badge | Get the badges for this listing |
Before you install
Read from the skill's files at the directory's October 22, 2026 snapshot: what ships with it, what its code reads, and the terms it is published under.
- Bundled scripts: 15 script files (15 Python). Your agent may run them, so read them first.
- Environment variables its scripts read:
ANTHROPIC_API_KEY. Check SKILL.md for which ones it needs. - Network: its scripts use an HTTP client or a cloud SDK, and name
api.anthropic.comandgraphml.graphdrawing.org. - License: MIT, an open-source or open-content license.
Install llm-wiki
The skills CLI works with Claude Code, Codex, Cursor and other agents; the other routes copy the folder by hand.
npx skills add https://github.com/praneybehl/llm-wiki-plugin/tree/main/skills/llm-wikitmp="$(mktemp -d)"
git clone --depth 1 https://github.com/praneybehl/llm-wiki-plugin.git "$tmp/repo"
mkdir -p .claude/skills
cp -R "$tmp/repo/"skills/llm-wiki .claude/skills/
rm -rf "$tmp"tmp="$(mktemp -d)"
git clone --depth 1 https://github.com/praneybehl/llm-wiki-plugin.git "$tmp/repo"
mkdir -p .agents/skills
cp -R "$tmp/repo/"skills/llm-wiki .agents/skills/
rm -rf "$tmp"For a user-level install, copy the folder to ~/.claude/skills/ (Claude Code) or ~/.agents/skills/ (Codex). Inside Codex, $skill-installer can also fetch a skill from GitHub. New to skills? Read How to install agent skills in Claude Code, Codex and Cursor.
praneybehl/llm-wiki-plugin is third-party code. Read SKILL.md and any bundled scripts before you install it.
How the author describes it
Build and maintain an LLM-curated knowledge base from papers, articles, transcripts, notes and project findings. Ingest sources into linked Markdown, answer questions with citations, lint or upgrade a wiki, and preserve useful synthesis across sessions and agents. Also capture verified task experience, consolidate success/failure patterns, and propose, evaluate, apply or roll back evidence-linked skill improvements. Trigger on "add this to my wiki", "what does the wiki say", "learn from this task", "improve this procedure", /wiki:learn or /wiki:evolve. Use index-first navigation, atomic pages and local hybrid search.
From the description field of SKILL.md. Agents read this line to decide when to load the skill.
Sections in SKILL.md
- The pattern in one paragraph
- When to use this skill
- Architecture: three layers, three operations
- Graph layer (compiled, optional)
- Storage scope and layout
- The scalability discipline
- Initializing a new wiki
- The ingest workflow (summary)
- The query workflow (summary)
- The lint workflow (summary)
- Failure modes to guard against
- Reference files
- Bundled scripts
- Templates
- Learning from task experience and evolving skills
Files in the skill folder
SKILL.mdassets/SCHEMA.md.templateassets/evolution_README.md.templateassets/experience.json.templateassets/graph_README.md.templateassets/graph_gitignore.templateassets/index.md.templateassets/log.md.templateassets/ontology.yaml.templateassets/page.md.templateassets/pattern.md.templateassets/wiki-cache_gitignore.templatereferences/agent-memory-integration.mdreferences/architecture.mdreferences/evolution-workflow.mdreferences/graph-workflow.mdreferences/ingest-workflow.mdreferences/lint-workflow.mdreferences/page-conventions.mdreferences/query-workflow.mdreferences/retrieval-setup.mdreferences/scaling-playbook.mdscripts/init_wiki.pyscripts/setup_wiki.py
Showing 24 of 37 files. Browse the folder on GitHub.
Suede Skill Check: 80/100 · B
Report snapshot · · graded-v2
The rubric totals 100 points; published scores are capped at 99. Security scan: not scanned.
Source revision: 32014c82da97. Report version fccbfbe0d308. Badge URLs follow the latest listing; save the report to keep this version.
Download report · Request a fresh review
What to review next
- Boundary clause: 0 of 4 points. 4 when the description says when not to use the skill (“Not for …”, “Do not use …”, “Use … instead”).
- Instruction depth: 4 of 7 points. 7 for a SKILL.md body of 500–3,000 words; 4 for 250–4,500; 1 for 100 or more.
- Recent maintenance: 6 of 9 points. 9 for a repository commit within 30 days of the snapshot; 6 within 90; 3 within 180; 1 within 365.
Add declarations and bundled files when they describe the skill’s actual needs. Update the source, then request a fresh review with the changed commit or PR.
llm-wiki passes the required frontmatter check and all seven graded checks, which cover the SKILL.md format, a declared license and a commit in the last year. Those checks earn 56 of the score’s points; the rest come from description quality, instruction depth, bundled files, maintenance and curated-list citations. How the score works.
See the checks and points
| Check | Result |
|---|---|
| Frontmatter parses and declares a name and a description | Pass |
| Name uses lowercase letters, digits and hyphens, 64 characters or fewer | Pass |
| Name matches the skill's folder name | Pass |
| Description is between 50 and 1,024 characters | Pass |
| Description says when an agent should use the skill | Pass |
| SKILL.md body is 500 lines or fewer | Pass |
| A license is declared in the frontmatter or the repository | Pass |
| Repository has a commit in the last 12 months | Pass |
| Score component | Points |
|---|---|
| Structural checks | 56 of 56 |
| Description length | 3 of 5 |
| Boundary clause | 0 of 4 |
| Example request | 3 of 3 |
| Instruction depth | 4 of 7 |
| Reference files | 3 of 3 |
| Bundled scripts | 2 of 2 |
| Recent maintenance | 6 of 9 |
| Curated-list citations | 3 of 7 |
| Tool permissions declared | 0 of 2 |
| Compatibility declared | 0 of 2 |
Two badges for llm-wiki
Choose the numeric badge, the letter badge, or both. Each links to this skill’s Suede AI listing; either valid linked badge can qualify for the feature offer.
[](https://suedeai.directory/praneybehl/llm-wiki-plugin/llm-wiki/)
[](https://suedeai.directory/praneybehl/llm-wiki-plugin/llm-wiki/)<a href="https://suedeai.directory/praneybehl/llm-wiki-plugin/llm-wiki/"><img src="https://suedeai.directory/praneybehl/llm-wiki-plugin/llm-wiki/score.svg" alt="Suede Skill Check: 80/100" width="160" height="175"></a>
<a href="https://suedeai.directory/praneybehl/llm-wiki-plugin/llm-wiki/"><img src="https://suedeai.directory/praneybehl/llm-wiki-plugin/llm-wiki/badge.svg" alt="Suede Skill Check: Grade B" width="160" height="175"></a>Suede Certified on the shield refers to this published structural quality check. Security scan: not scanned. Read the methodology.
Limited-time feature offer: Display either quality badge in your repository or skill README, linked to your listing, then request verification. Suede AI checks the rendered README at a recorded commit. Eligible skills scoring 80–99 with a verified badge can receive a featured placement while the offer is open. Request badge verification.
Publishers: read How to get your agent skill found in search and cited by AI assistants.
Where this skill is cited
praneybehl/llm-wiki-plugin appears in 2 curated lists: BehiSecc/awesome-claude-skills, karanb192/awesome-claude-skills.