8d6213280c
Adds a disciplined multi-source meta-research skill — the heavyweight, rigor-first alternative to the fast research router. 9-phase pipeline (reframe into falsifiable hypotheses -> plan -> capability discovery -> parallel sub-agent fan-out -> score & triangulate -> synthesize + adversarial pass -> verify -> refresh targets), triangulation against >=3 independent differently-typed sources, per-source files with verbatim quotes, and a hard no-fabricated-citations rule. Concept + SKILL.md contributed by @Socialpranker in PR #851. Hardened for the research/ per-skill-plugin convention (the PR shipped only the SKILL.md): - Packaged as a full plugin to match every sibling (pulse/litreview/dossier/...): added .claude-plugin/plugin.json, marketplace.json entry, cs-deep-research agent, /cs:deep-research command, and README. - Dropped a dangling claude-api cross-reference (not a repo skill); the other cross-refs (research router, competitive-teardown, litreview/dossier/patent) are all real. - Preserved the contributed SKILL.md + references/full-catalog.md (the upstream source-catalog pointer) verbatim otherwise; attribution + upstream link in plugin.json and README. Counters trued up via scripts/derive_counters.py --check (passes): 354 skills, 722 references, 96 agents, 102 commands, 82 plugins. Co-authored-by: Socialpranker <273312799+Socialpranker@users.noreply.github.com> Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Kmw1eZQoSMDr2diHbCcUkF
2.9 KiB
deep-research — Disciplined Meta-Research
The heavyweight end of the research domain: an auditable, reusable, triangulated investigation — for when a wrong answer costs more than the tokens spent getting it right.
deep-research is the rigor-first alternative to the fast research router. Where the router does keyword-classify → delegate → short brief for low-decision-risk questions, deep-research pays for rigor: falsifiable hypotheses, parallel sub-agent fan-out, source triangulation, a mandatory adversarial pass, and per-source files with verbatim quotes.
The 9-phase pipeline
| # | Phase | What it does |
|---|---|---|
| 1 | Reframe | Fix the underlying decision; state 2-4 falsifiable hypotheses |
| 2 | Genre & blocks | Pick report genre + building blocks |
| 3 | Plan | plan.md: scope, sourcing strategy, opposition queries, risk register, stop-criteria |
| 3.5 | Capability discovery | Audit available API keys/channels; map subtopics to sources |
| 4 | Search (parallel) | Fan out sub-agents → fetch & dedup → save each to sources/NN.md |
| 5 | Score & triangulate | Rate Credibility/Recency/Bias; require >=3 independent, differently-typed sources per thesis |
| 6 | Synthesize + adversarial | Assemble from blocks; 4 self-critique questions; steel-man counter-arguments |
| 6.5 | Verify | Lightweight citation check |
| 7 | Refresh targets | Emit refresh_targets.md for delta-updates |
Core discipline
- No fabricated citations — empty fetch = empty claim; every assertion binds to a saved verbatim quote.
- Triangulation mandatory — a thesis with < 3 independent, differently-typed sources is "insufficient evidence," not fact.
- Adversarial pass required on medium/deep investigations.
- Persist to files — output is a reusable folder, not a chat wall.
Use / don't use
Use for: strategy, comparing N options, hypothesis validation, mapping a field.
Not for: quick fact-checks (answer directly), 12-dimension competitor scoring (competitive-teardown), or fast low-risk overviews (the research router).
What's in the box
- Skill:
skills/deep-research/SKILL.md - Agent:
agents/cs-deep-research.md - Command:
commands/cs-deep-research.md—/cs:deep-research - Reference:
skills/deep-research/references/full-catalog.md— pointer to the upstream source catalog
Attribution
Methodology contributed by @Socialpranker (PR #851). The continuously-maintained source catalog (29 channels, 460+ statistical sources, 39 validated APIs, 103 report blocks) lives upstream at claude-deep-research; the methodology here is self-contained. MIT.