claude

autoresearch

Autonomous improvement engine: /autoresearch runs an unlimited modify-verify-keep/discard loop. Includes /autoresearch:plan (goal wizard), /autoresearch:predict (multi-persona swarm prediction), /autoresearch:reason (adversarial refinement for subjective domains), /autoresearch:security (STRIDE + OWASP audit), /autoresearch:ship (multi-phase delivery workflow), /autoresearch:debug (autonomous bug hunter), /autoresearch:fix (autonomous error crusher), /autoresearch:scenario (edge case explorer), and /autoresearch:learn (autonomous documentation engine).

0 on GitHubby Udit Goenkav1.9.0MITupdated 7 months agoproductivity
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Plugin autoresearch from marketplace autoresearch in zhengxuyu/autoresearch-uditgoenka. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • autoresearch

    Autonomous Goal-directed Iteration. Apply Karpathy's autoresearch principles to ANY task. Loops autonomously — modify, verify, keep/discard, repeat. Supports bounded iteration via Iterations: N inline config.

Slash commands (10)

  • /autoresearch:autoresearch

    Autonomous Goal-directed Iteration. Modify, verify, keep/discard, repeat. Apply to ANY task with a measurable metric.

  • /autoresearch:autoresearch:debug

    Autonomous bug-hunting loop — scientific method + autoresearch iteration. Finds ALL bugs, not just one.

  • /autoresearch:autoresearch:fix

    Autonomous fix loop — iteratively repairs errors until zero remain. One fix per iteration, atomic, auto-reverted on failure.

  • /autoresearch:autoresearch:learn

    Autonomous codebase documentation engine — scout, learn, generate/update docs with validation-fix loop

  • /autoresearch:autoresearch:plan

    Interactive wizard to build Scope, Metric, Direction & Verify from a Goal

  • /autoresearch:autoresearch:predict

    Multi-persona swarm prediction — pre-analyze code from multiple expert perspectives using file-based knowledge representation. Zero external dependencies.

  • /autoresearch:autoresearch:reason

    Isolated multi-agent adversarial refinement — generate, critique, synthesize, and judge outputs through repeated rounds until convergence. Produces a lineage of evolving candidates with documented decision rationale. Zero external dependencies.

  • /autoresearch:autoresearch:scenario

    Scenario-driven use case generator — explores situations, edge cases, and derivative scenarios from a seed scenario using autonomous iteration.

  • /autoresearch:autoresearch:security

    Autonomous security audit — STRIDE threat model + OWASP Top 10 + red-team with 4 adversarial personas

  • /autoresearch:autoresearch:ship

    Universal shipping workflow — ship code, content, marketing, sales, research, or anything through structured 8-phase workflow

View source on GitHub

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