Recursive Research — Development skill for Claude Code
Claude Code skill for recursive research up to PhD level across any domain.
How to install Recursive Research
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open Anjos2/recursive-research and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Recursive Research does
Claude Code skill for recursive research up to PhD level across any domain. Source tiering, WDM + Munger inversion for autonomous decisions, and disk checkpointing to survive context compaction.
Alternatives in Development
- Fast Jev Compaction — Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scor 425 ★
- Interview Ppt — Build or refine a professor-meeting or PhD interview slide deck 110 ★
- Claude Rlm — Recursive Language Models for Claude Code — process arbitrarily long inputs via recursive sub-agent delegation 93 ★
README
recursive-research
Claude Code **plugin & skill** for recursive research up to PhD level on any topic — science, tech, business, arts, humanities. Source tiering, loop auto-regulation, disk checkpointing, and WDM + Munger inversion for autonomous decisions.
**Version:** 2.2.0 · **License:** [MIT](LICENSE) · **Author:** Joseph Huayhualla ([@Anjos2](https://github.com/Anjos2))
What it does
You give it a **research seed** (a topic) and the skill:
- Asks for mode (
web/local/mixed), local paths if applicable, priority/excluded sources, and a cycle cap. - Identifies 3-5 seed threads applying WDM (Weighted Decision Matrix) + Munger Inversion.
- Detects available MCPs (Firecrawl, Context7, WebFetch, WebSearch) and prioritizes by speed and quality.
- Iterates in auto-regulated cycles — each cycle picks the least-covered thread, selects sources, investigates, consolidates.
- Tiers every source into Tier 1 / 2 / 3 / Rejected with transparent criteria.
- Saves disk checkpoints every cycle — survives context compaction.
- Closes when the 5-criteria PhD fitness function is met, or upon hitting the cycle cap.
- Asks if you want to keep going. Research can be infinite.
Why it's different
| Feature | How it solves it |
|---|---|
| Works across any domain | Generic source tiering (papers, academic books, official archives, raw data), not code-only |
| Rejects garbage sources automatically | Explicit criteria: no author, data-less marketing, SEO spam, unsupervised AI content |
| Survives context limits | Per-cycle disk checkpoint + --resume mode for new sessions |
| Self-critical | Munger inversion applied to the consolidated knowledge: what do I not know? what bias do my sources share? what's missing? |
| Asks before assuming | Full Phase 0 interrogation of the user |
| Transparent | Every non-trivial autonomous decision runs WDM + Munger and shows the reasoning |
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