autoresearch
Bounded research experiment loop that tries hypotheses, measures benchmark evidence, keeps what works, and records what fails.
Skill by ParamJani21
Chalk Labs
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/paramjani21-autoresearch
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
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What's inside
- Skill name
autoresearch- Description
- Bounded research experiment loop that tries hypotheses, measures benchmark evidence, keeps what works, and records what fails. Use when the user asks to optimize a research metric, run an experiment loop, improve model/retrieval/evaluation performance iteratively, or benchmark a research hypothesis.
- License
- MIT
- Instructions
- 9 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Autoresearch Run the `/autoresearch` workflow. The slash command expands the full workflow instructions in the active session; do not try to read a relative prompt-template path from the installed skill directory. Optional tools used when visible: `init_experiment`, `run_experiment`, `log_experiment`. Without those tools, run the benchmark through the available shell/tooling and record benchmark result, evidence, and decision in the session files. Session files: `autoresearch.md`, `autoresearch.sh`, `autoresearch.jsonl`
From ParamJani21/feynman, MIT.
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chai1
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Run or prepare Chai-1 structure predictions for biomolecular complexes.
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compute-env-setup
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Set up a reproducible Feynman compute environment for research jobs.
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customize
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Configure Feynman specialists, skills, connectors, permissions, memory categories, compute providers, and project setup.
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Run or plan DiffDock molecular docking workflows.
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esmfold2
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Predict quick protein structures with ESMFold-style workflows.
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evo2
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Use Evo2-style biological sequence models for generation, scoring, or variant-effect analysis.
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Use ESM2 protein language models for embeddings, mutation scoring, remote homology, or representation analysis.
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figure-composer
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Compose a publication-grade multi-panel scientific figure from a claim, dataset, or draft result.
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figure-style
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Apply scientific plotting and figure-quality rules to a single plot or panel.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jun 23, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ParamJani21/feynman
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
Copies of this SKILL.md published by others; search shows only one of them.
More from ParamJani21
- 0.469score
boltz
ParamJani21
Run or plan Boltz biomolecular structure predictions for proteins, complexes, ligands, or nucleic-acid assemblies.
SkillCFreshness: CClaude Code +9 - 0.469score
borzoi
ParamJani21
Use Borzoi-style regulatory genomics models for sequence-to-expression or variant-effect analysis.
SkillCFreshness: CClaude Code +9 - 0.469score
chai1
ParamJani21
Run or prepare Chai-1 structure predictions for biomolecular complexes.
SkillCFreshness: CClaude Code +9 - 0.469score
compute-env-setup
ParamJani21
Set up a reproducible Feynman compute environment for research jobs.
SkillCFreshness: CClaude Code +9 - 0.469score
customize
ParamJani21
Configure Feynman specialists, skills, connectors, permissions, memory categories, compute providers, and project setup.
SkillCFreshness: CClaude Code +9 - 0.469score
alphafold2
ParamJani21
Predict or audit protein structures with AlphaFold2-style workflows.
SkillCFreshness: CClaude Code +9
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Cite this page
autoresearch skill. Agent Mart. https://agentmart.dev/skills/paramjani21-autoresearch (last updated 2026-10-24)