infrastructure-autoresearch
SolidSkill for deterministic AutoResearch readiness planning. Use when adding, validating, or documenting opt-in autoresearch.yaml controls, stage-gate readiness, evidence-grounded claims, artifact readiness reports, or AutoResearchClaw-inspired workflow checks in template projects.
Install
Quality Score: 81/100
Skill Content
Details
- Author
- docxology
- Repository
- docxology/template
- Created
- 1 years ago
- Last Updated
- today
- Language
- Python
- License
- Apache-2.0
Integrates with
Similar Skills
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autoresearch
Scaffold and run Karpathy-style autoresearch loops in any git repo. This skill should be used when setting up autonomous code improvement, generating adversarial eval harnesses, running hypothesis-implement-eval-keep/discard loops, or checking autoresearch progress. Triggers on "autoresearch", "autonomous improvement", "eval loop", "hypothesis loop", "self-improvement loop".
autoresearch
Autonomous goal-directed iteration loop that continuously improves prompts, templates, configs, or code. Two evaluation modes — deterministic (eval.py with proxy heuristics) or AI judge (LLM rubric scoring). Uses four-way separation in both modes. Inspired by Karpathy's autoresearch.
auto-research
Improve any existing Claude Code skill, CLAUDE.md, subagent definition, slash-command, or prompt markdown file by combining web-researched best-practice rewrites with autonomous Karpathy-style binary eval loops. Use when the user wants to "auto-research", "self-improve", "auto-improve", "optimize", "modernize", or "research-improve" any existing SKILL.md, CLAUDE.md, agent file under .claude/agents/, slash-command file under .claude/commands/, or any prompt markdown file. Triggers on phrases like "use auto-research to improve skill X", "auto-improve this CLAUDE.md", "research best practices and rewrite Y", or "self-research and optimize this agent". Researches authoritative sources (Anthropic docs, anthropic.com engineering blog, anthropics/skills GitHub) in parallel sub-agents, proposes a cited rewrite, runs an autonomous binary-assertion eval loop with git commit and reset bookkeeping for testable artifacts, and asks the user to confirm only at the end with a before-and-after score and full source list.