Autonomous Researcher
SkillDev toolsEnd-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.
No other account needed.
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
councilnode 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.mdartifact saved viawrite_filetodata/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_searchtool 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