llm-wiki-research

LLM Wiki Research

Sub-skill of llm-wiki-pm. Handles research sprints, competitive deep dives, and auto-enrichment of stub entities. Every fetched source goes through the core ingest capture step, so privacy filtering and raw/ logging happen correctly.

WebFetch note: use WebFetch freely to preview a page. Before you save a source to raw/, apply the privacy filter from the core ingest guide.

Orient First

Orient per AGENTS.md before any writes:

1. Read $WIKI/SCHEMA.md
2. Read $WIKI/index.md
3. Read last 20-30 lines of $WIKI/log.md
4. Read $WIKI/overview.md

Research sprints may create many pages. Get user confirmation before creating 5+ pages.

Wiki Path Resolution

WIKI=$(cat .wiki-path 2>/dev/null | tr -d '[:space:]')
CONF='${user_config.wiki_path}'; case "$CONF" in '${'*) CONF= ;; esac  # plugin option, if set
WIKI=${WIKI:-${CONF:-${WIKI_PATH:-}}}
[ -z "$WIKI" ] && [ -f SCHEMA.md ] && WIKI=$(pwd)  # cwd only if it is already a wiki

Source Capture

For each source, fetch it (WebFetch) and capture it with the core skill's Ingest step ① (llm-wiki-pm/references/ingest-guide.md: route to raw/<subdir>/, apply the privacy filter, dedup by URL). Use the saved raw/<subdir>/<slug>.md path for synthesis and [source: ...] markers. For 4+ sources, a general-purpose subagent can fetch and save them in parallel; give it the ingest-guide rules.

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Operation 1: Research Sprint

Trigger: "research sprint on [topic]", "deep research on [topic]"

① Define scope

Confirm with user:

• What is the topic / question to answer?
• Target depth: surface / standard / deep
• Time budget (number of sources)

② Wiki-first

grep -r "<topic>" $WIKI --include="*.md" -l

Read all relevant pages. Surface: "Wiki has N relevant pages. Here's what we already know: [...]. Gaps: [...]."

③ Research plan

Present 3-5 specific sources to fetch — name each, why it's relevant, what question it answers. Typical: analyst reports, company pages, recent press, whitepapers, industry forums. Get user confirmation before fetching.