skills.guanliai
How-tosAll SkillsCombos
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How-tosAll SkillsCombos

skills.guanliai.com

An AI how-to library organised by scene: which skills to use, how to install, how to prompt, and what traps to avoid.

How-tosAll SkillsCombos

Supported clients

  • Claude Code
  • Cline / Roo Code
  • CodeBuddy
  • CodeGeeX (Zhipu)
  • Comate (Baidu)
  • Cursor
  • Fitten Code
  • Gemini CLI
  • GitHub Copilot
  • Kiro
  • Lingma (Alibaba)
  • MarsCode
  • OpenAI Codex
  • OpenClaw
  • OpenCode
  • Qoder
  • Tencent CloudBase AI
  • Trae
  • VS Code
  • Windsurf
skills.guanliai.com · Agent Skill DirectoryData from GitHub · Next.js + MySQL
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Total 1 skills · from GitHub & curated sets, updated daily

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Total 1 skills

grade-iterate

alirezarezvani/claude-skills/agent-launcher/skills/grade-iterate

Dev Tools

Phase 3 of building a Claude Managed Agent — the bounded grade→iterate loop. Define a CMA outcome (a required markdown rubric graded by an isolated grader), read each verdict, decide the next move (sharpen / re-run / promote to schedule), and once a version passes, run held-back eval cases in parallel. Use when the user says "grade my agent", "make it pass the rubric", "iterate until it's good", "is it good enough", or when the orchestrator routes phase=grade-iterate. outcome_builder.py builds the user.define_outcome payload (rubric required, max_iterations clamped 1..20 — never unbounded); verdict_reader.py reads the grader result and recommends the next move; eval_scaffold.py generates held-back cases + a parallel run plan (capped at the 25-thread CMA ceiling). Distinct from stage-launch (first launch) and run-without-you (scheduling).

CursorClaude CodeGemini CLI
25.1kPythonDetails
cmaloopoutcome