wiki-research
Skill0 starsChanged 4 months agoMITView on GitHub
Ad-hoc research orchestrator — classifies request, picks sub-skill, ingests, and merges into wiki/. Not wiki-research-loop (batch tasks).
4 other projects use a version of this.
Adopted by
Most recently taken up by
- methylo/claude-skill-booktheir own version, first seen Nov 8, 2026
- Ar9av/obsidian-wikitheir own version, first seen Nov 8, 2026
- chobizzy/llm-wikitheir own version, first seen Nov 1, 2026
- Ivy-Chen1999/llm-wiki-kittheir own version, first seen Jun 23, 2026
Other versions4 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 4
- Ar9av/obsidian-wiki★ 3.7ksame name
- Ivy-Chen1999/llm-wiki-kit★ 21same name
- chobizzy/llm-wiki★ 3same name
- methylo/claude-skill-book★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository36 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- wiki-extract-annasSkill
- wiki-extract-crunchbaseSkill
- wiki-extract-ebookSkill
- wiki-extract-ecommerceSkill
- wiki-extract-githubSkill
- wiki-extract-linkedinSkill
- wiki-extract-newsletterSkill
- wiki-extract-patentsSkill
- wiki-extract-paywallSkill
- wiki-extract-podcastSkill
- wiki-extractSkill
- wiki-extract-wikipediaSkill
- wiki-extract-youtubeSkill
- wiki-fetchSkill
- wiki-ingestSkill
- wiki-learnSkill
- wiki-lintSkill
- wiki-maintainerSkill
- wiki-onboardSkill
- wiki-pipelineSkill
- wiki-querySkill
- wiki-raw-prepareSkill
- wiki-research-academicSkill
- wiki-research-deepSkill
- wiki-research-feedsSkill
- wiki-research-loopSkill
- wiki-research-newsSkill
- wiki-research-socialSkill
- wiki-research-webSkill
- wiki-retroSkill
- wiki-session-memorySkill
- wiki-setupSkill
- wiki-statusSkill
- wiki-upgradeSkill
The file
We split this skill into the rules it gives an agent
5 rules. 0 are common, 1 is distinctive, and 4 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 21
Before classifying the request, verify the vault is ready.
- Very specific: line 38
On
FAIL: Stop. Offer to run wiki-setup now: - Very specific: line 56
Read $ARGUMENTS (or the user's message) and assign a primary modality:
- Distinctive: line 71
When ambiguous, default to wiki-research-web for URLs and wiki-research-deep for open-ended topics.
- Very specific: line 146
CLI: Run llm-wiki integrations status and any llm-wiki line from Step 1 of this skill (from the vault root).
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Wiki research (orchestrator)
Naming: This skill is wiki-research (ad-hoc topic). Use wiki-research-loop only for recurring batch runs from research_loop.tasks_file.
When to use
- User gives a research question, topic, or URL (not a predeclared JSON task list).
- You need to discover the right fetch strategy, pull content into
raw/, then merge intowiki/.
Pre-flight check
Before classifying the request, verify the vault is ready. If llm-wiki/.agent-memory.md exists, skim Pitfalls and Preferences (wiki-learn) before heavy research. If memory.enabled, optionally llm-wiki memory recall "<topic>" to see whether past sessions covered this topic (wiki-session-memory).
python3 -c "
import json, pathlib, sys
p = pathlib.Path('llm-wiki/config.json')
if not p.exists():
print('PRE_FLIGHT: FAIL — config.json not found')
sys.exit(1)
meta = json.loads(p.read_text()).get('_meta', {})
if not meta.get('setup_completed'):
print('PRE_FLIGHT: WARN — setup not completed')
else:
print('PRE_FLIGHT: OK')
"On FAIL: Stop. Offer to run wiki-setup now:
The llm-wiki vault is not initialized. Would you like me to run the setup wizard?
[1]Yes — run wiki-setup[2]No — cancel
On WARN: Inform the user and ask:
The vault exists but setup hasn't been completed. Some integrations may not work.
[1]Continue anyway[2]Run wiki-setup first
On OK: Proceed directly to Step 1.
See skills/references/preflight.md for the full pre-flight pattern and integration-specific checks.
Step 1 — Classify the request
Read $ARGUMENTS (or the user's message) and assign a primary modality:
| Signal | Modality | Sub-skill to invoke |
| A URL (http/https) | web page | wiki-research-web |
| arXiv ID, DOI, "paper", "study", "preprint" | academic | wiki-research-academic |
| Twitter/X link, HN link, "thread", "tweet", Reddit URL | social | wiki-research-social |
| "feed", "RSS", OPML, newsletter URL | feeds | wiki-research-feeds |
| "news", "latest", "current events", "what happened" | news | wiki-research-news |
| Broad topic needing multiple passes / "deep research" | deep | wiki-research-deep |
YouTube URL (youtube.com, youtu.be) | video | wiki-extract-youtube |
| "paywall", "can't access", 403 response, "bypass" | paywall | wiki-extract-paywall |
.epub, .pdf, .mobi, .azw3, local file path | ebook | wiki-extract-ebook |
| "find the book", "download this paper", "Anna's Archive" | book search | wiki-extract-annas |
When ambiguous, default to wiki-research-web for URLs and wiki-research-deep for open-ended topics.
Open skills/wiki-research/references/approaches.md to see the full dispatch table with example triggers.
Step 2 — Dispatch to sub-skill
Invoke the matched sub-skill and follow its instructions exactly. Pass the original $ARGUMENTS and any relevant context (vault paths, config) forward.
Sub-skill reference files:
skills/wiki-research/references/approaches.md— full dispatch table and decision treeskills/wiki-research/references/query-design.md— how to construct queries per modalityskills/wiki-research/references/source-eval.md— scoring, dedup, prompt-injection checksskills/wiki-research/references/synthesis.md— merging multi-source findings into wiki pages
Step 3 — Post-process (always runs)
Regardless of which sub-skill ran:
- Validate raw files —
llm-wiki raw validateon any new files inraw/ - Merge into wiki — invoke wiki-ingest and wiki-maintainer
- Log — append
wiki/log.md:## [YYYY-MM-DD] research | <short topic> - Modality: <web|academic|social|feeds|news|deep> - Sources: <paths under raw/> - Pages touched: <wiki/ paths> - Open questions: … - Optional git snapshot —
llm-wiki git snapshot -m "research: <topic> [ingest]" --phase ingestthen--phase wikiafter merge (ifgit.enabled)
Done looks like
- Pre-flight OK (or user explicitly continued after WARN).
- Sub-skill completed;
llm-wiki raw validaterun on newraw/files; wiki-ingest and wiki-maintainer applied;wiki/log.mdhas a datedresearch | …entry with modality, sources, pages touched, and open questions. - Optional: vault git snapshots with phase tags when
git.enabled.
Artifacts
| Layer | Use |
raw/ | Evidence: fetched text, URLs in body or frontmatter. Do not alter provenance. |
wiki/ | Curated synthesis with [[wikilinks]] and raw/ citations. |
outputs/ | Scratch drafts for deep research; promote to wiki/ only after review. |
Related skills
- wiki-research-web — URL / web page fetching
- wiki-research-academic — arXiv, DOI, Semantic Scholar
- wiki-research-social — Twitter/X, Hacker News, Reddit
- wiki-research-feeds — RSS / Atom / newsletters
- wiki-research-news — current events via Perplexity or news APIs
- wiki-research-deep — multi-pass, multi-source synthesis
- wiki-research-loop — batch tasks from
research-tasks.json - wiki-extract-youtube — YouTube transcripts and captions
- wiki-extract-paywall — bypass paywalled articles (Freedium, archive.ph, 12ft.io, etc.)
- wiki-extract-ebook — extract text from EPUB, PDF, MOBI, AZW3
- wiki-extract-annas — search and download from Anna's Archive
- wiki-ingest — merge
raw/intowiki/ - wiki-maintainer — index, cross-links, consistency
- wiki-raw-prepare — clean structurally broken markdown in
raw/ - wiki-session-memory — recall past sessions on the topic (
raw/memory/) - wiki-fetch — single-URL fetch without wiki merge (lightweight)
Optional: skills/references/context-persona.md and persona.name in llm-wiki/config.json (default Gennie).
Smoke check
- CLI: Run
llm-wiki integrations statusand anyllm-wikiline from Step 1 of this skill (from the vault root). - Prompt: Invoke this skill by name in Claude Code; complete Step 1 only and confirm expected CLI or file output.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

