wanshuiyin/auto-claude-code-research-in-sleep1 file

Research Wiki

Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern. Use when user says \"知识库\", \"research wiki\", \"add paper\", \"wiki query\", \"查知识库\", or wants to build/query a persistent field map.

Specification
Skill ID
wanshuiyin/auto-claude-code-research-in-sleep/research-wiki
Publisher
wanshuiyin
Repository
auto-claude-code-research-in-sleep
Installs
0
Files
1
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

wanshuiyin/auto-claude-code-research-in-sleep/research-wikiInstalls these files
  • SKILL.md

What this skill tells the agent

Research Wiki: Persistent Research Knowledge Base

Subcommand: $ARGUMENTS

Overview

The research wiki is a persistent, per-project knowledge base that accumulates structured knowledge across the entire ARIS research lifecycle. Unlike one-off literature surveys that are used and forgotten, the wiki compounds — every paper read, idea tested, experiment run, and review received makes the wiki smarter.

Inspired by Karpathy's LLM Wiki pattern: compile knowledge once, keep it current, don't re-derive on every query.

Core Concepts

Four Entity Types

EntityDirectoryNode ID formatWhat it represents
Paperpapers/paper:<slug>A published or preprint research paper
Ideaideas/idea:<id>A research idea (proposed, tested, or failed)
Experimentexperiments/exp:<id>A concrete experiment run with results
Claimclaims/claim:<id>A theorem/headline with an honest PROOF status — born via /proof-checker (see Hook 4)

Typed Relationships (graph/edges.jsonl)

Edge typeFrom → ToMeaning
extendspaper → paperBuilds on prior work
contradictspaper → paperDisagrees with results/claims
addresses_gappaper\idea → gapTargets a known field gap
inspired_byidea → paperIdea sourced from this paper
tested_byidea\claim → expTested in this experiment
supportsexp → claim\ideaExperiment confirms claim
invalidatesexp → claim\ideaExperiment disproves claim
supersedespaper → paperNewer work replaces older

Edges are stored in graph/edges.jsonl only. The ## Connections section on each page is auto-generated from the graph — never hand-edit it.

Capture hygiene (anti-self-poisoning)

Before persisting an idea / claim / experiment note, screen it for operational noise that would harden into a self-cited falsehood (see `shared-references/capture-antipatterns.md`). Resolve the helper via the canonical chain (integration-contract §2): .aris/tools/capture_filter.py → tools/capture_filter.py → $ARIS_REPO/tools/capture_filter.py (warn-and-skip if unresolved). Run python3 <capture_filter> - on the note text; if it flags env-failure / transient-error / negative-tool-claim, do NOT store it as a durable node — rewrite it to the fix / missing config / workaround, or drop it. Never store "codex/gemini/the reviewer can't do X" — that gets loaded into every future session and cited against the agent long after the real cause is gone. (The wiki's "failed ideas → anti-repeat memory" is the GOOD inverse: a class-level research finding, not operational noise.)

Wiki Directory Structure

research-wiki/
  index.md               # categorical index (auto-generated)
  log.md                 # append-only timeline
  gap_map.md             # field gaps with stable IDs (G1, G2, ...)
  query_pack.md          # compressed summary for /idea-creator (auto-generated, max 8000 chars)
  papers/
    <slug>.md            # one page per paper
  ideas/
    <idea_id>.md         # one page per idea
  experiments/
    <exp_id>.md          # one page per experiment
  claims/
    <claim_id>.md        # one page per testable claim
  graph/
    edges.jsonl          # materialized current relationship graph

Subcommands

Helper resolution (run before any subcommand below)

All wiki operations except plain directory bootstrap go through a single canonical helper, tools/research_wiki.py. Skills that touch the wiki must resolve $WIKI_SCRIPT via the chain below — never hard-code python3 tools/research_wiki.py …. Hard-coding silently fails when the project does not have tools/ on disk (the post-install_aris.sh default), which is exactly the failure mode that left a real user's research-wiki/ empty for a week.

cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
ARIS_REPO="${ARIS_REPO:-$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null)}"
if [ -z "${ARIS_REPO:-}" ] && [ -f "$HOME/.aris/repo" ]; then
  ARIS_REPO=$(cat "$HOME/.aris/repo" 2>/dev/null) || true
fi
WIKI_SCRIPT=".aris/tools/research_wiki.py"
[ -f "$WIKI_SCRIPT" ] || WIKI_SCRIPT="tools/research_wiki.py"
[ -f "$WIKI_SCRIPT" ] || { [ -n "${ARIS_REPO:-}" ] && WIKI_SCRIPT="$ARIS_REPO/tools/research_wiki.py"; }
[ -f "$WIKI_SCRIPT" ] || {
  echo "ERROR: research_wiki.py not found at .aris/tools/, tools/, \$ARIS_REPO/tools/, or via ~/.aris/repo." >&2
  echo "       Fix one of:" >&2
  echo "         1. rerun 'bash tools/install_aris.sh' from the ARIS repo (creates .aris/tools symlink, refreshes ~/.aris/repo)" >&2
  echo "         2. rerun 'bash tools/smart_update.sh' (refreshes ~/.aris/repo)" >&2
  echo "         3. export ARIS_REPO=<path-to-ARIS-repo>" >&2
  echo "         4. cp <ARIS-repo>/tools/research_wiki.py tools/" >&2
  exit 1
}

/research-wiki itself is the wiki tool — if the helper is missing the skill hard-fails. Caller skills that update the wiki as a side effect (/idea-creator, /result-to-claim, /research-lit, /arxiv, /alphaxiv, /deepxiv, /semantic-scholar, /exa-search) use the same chain but warn-and-skip instead of hard-failing — their primary output (idea list, claim verdict, paper summary) must still be delivered to the user.

/research-wiki init

Initialize the wiki for the current project. After resolving $WIKI_SCRIPT per the chain above:

python3 "$WIKI_SCRIPT" init research-wiki/

The helper creates research-wiki/{papers,ideas,experiments,claims,graph}/ plus index.md, log.md, gap_map.md, `query_pack.md`, and graph/edges.jsonl, then appends "Wiki initialized" to log.md.

(Earlier versions of this skill described a prose-only init that omitted query_pack.md — that drifted from the helper and made /idea-creator's Phase 0 query-pack check fall through to a rebuild_query_pack invocation that, under the old hard-coded path, silently failed. Delegating init to the helper is the single source of truth for the wiki schema.)

/research-wiki ingest "<paper title>" — arxiv: <id>

Add a paper to the wiki. This subcommand is thin wrapping around python3 "$WIKI_SCRIPT" ingest_paper …, which is the single implementation of paper ingest in ARIS (per `shared-references/integration-contract.md` — one helper, no copies). The helper does all of:

  1. Fetch metadata — queries the arXiv Atom API when --arxiv-id is given
  2. Generate slug — <first_author_last_name><year>_<keyword>
  3. Check dedup — skip an existing page unless --update-on-exist
  4. Create page — papers/<slug>.md with the schema below
  5. Rebuild `index.md` and query_pack.md
  6. Append `log.md`

Edge extraction (step 5/8 in the old manual flow) is not in ingest_paper; do it as a follow-up with add_edge per relationship identified:

# arXiv-known paper
python3 "$WIKI_SCRIPT" ingest_paper research-wiki/ \
    --arxiv-id 2501.12345 --thesis "One-line claim from abstract."

# Venue paper with no arXiv mirror
python3 "$WIKI_SCRIPT" ingest_paper research-wiki/ \
    --title "Attention Is All You Need" \
    --authors "Ashish Vaswani, Noam Shazeer, …" --year 2017 --venue "NeurIPS"

# Manual edge after ingest
python3 "$WIKI_SCRIPT" add_edge research-wiki/ \
    --from "paper:vaswani2017_attention_all_you" \
    --to "paper:chen2025_factorized_gap" \
    --type "extends" --evidence "Section 3.2: adapts the encoder block …"

Other skills (/research-lit, /arxiv, /alphaxiv, /deepxiv, /semantic-scholar, /exa-search) call the same helper directly in

Use this skill in a project

Open any RiverX project, search the Skills panel for wanshuiyin/auto-claude-code-research-in-sleep/research-wiki, and install it in one click.

Use this skill