Autonomous Researcher

SkillDev tools

End-to-end research pipeline: scoping, literature review, hypothesis formation, synthesis, empirical validation, and written output.

Available today. Use it from your connected AI after setup.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Autonomous Researcher skill

About this skill

Self-hosted AI workspace where chat becomes visual workflows, multi-agent operations, and reviewable automations. Local memory; local or cloud models

What this skill tells your AI

The instructions your AI receives, as published by aaronnat23/disp8ch in skills/autonomous-researcher/SKILL.md and read by ahel’s review.

End-to-end research pipeline: scoping, literature review, hypothesis formation, synthesis, empirical validation, and written output.

Research Pipeline

  • Phase 1 — Scope: Decompose the research topic into 3–5 specific sub-questions before starting any search.
  • Phase 2 — Literature: Search arXiv, Semantic Scholar, and web sources. Screen for relevance. Target 10–20 sources for a thorough review.
  • Phase 3 — Synthesis: Cluster findings by theme. Identify consensus positions, open debates, and knowledge gaps.
  • Phase 4 — Hypothesis: Propose 2–3 candidate hypotheses that address a gap. Evaluate feasibility and novelty.
  • Phase 5 — Validation (optional): Use the Experiment Loop skill to empirically validate the winning hypothesis — implement, benchmark, keep/discard via git.
  • Phase 6 — Output: Write a structured report with: Abstract, Background, Findings, Hypothesis, Experimental Results, Next Steps, References.

Rules

  • Use the council node or parallel agents to run competing hypothesis evaluations when multiple stances are plausible.
  • Store all intermediate findings in memory with appropriate types (fact, event, profile) so subsequent runs can build on prior work.
  • Quality gates: after literature review, verify ≥5 sources found before continuing. After synthesis, verify hypothesis addresses a real gap.
  • Cite every factual claim. Use inline references [Author, Year] throughout the report body.
  • Produce a final paper_draft.md artifact saved via write_file to data/workspace/reports/.
  • When the hypothesis involves code changes or performance optimization, combine with the Experiment Loop skill to move from theory to empirical proof.

API Sources

  • arXiv: https://export.arxiv.org/api/query?search_query={{topic}}&max_results=10
  • Semantic Scholar: https://api.semanticscholar.org/graph/v1/paper/search?query={{topic}}&limit=10&fields=title,abstract,authors,year
  • CrossRef: https://api.crossref.org/works?query={{topic}}&rows=10
  • DuckDuckGo: use web_search tool for general/current web sources

Signals

GitHub stars
100
Forks
2
Last commit
Sep 2026
Advanced
Item type
skill
Key
autonomous-researcher
Source
github.com/aaronnat23/disp8ch