{
  "score": 100,
  "band": "high",
  "gate_passed": true,
  "strengths": [
    "The recurring job is concrete enough to anchor the package.",
    "Real input shape is explicit.",
    "The hand-back output is concrete.",
    "Boundary exclusions are already explicit.",
    "Operational constraints are visible."
  ],
  "gaps": [],
  "follow_up_questions": [],
  "anchor_sentence": "Turn repeated workflows, prompts, transcripts, runbooks, documents, or existing skill packages into routeable, evaluable, packageable, and governable agent skills for personal, team, library, or governed reuse. Primary output: A working skill package with lean SKILL.md, aligned agents/interface.yaml, justified references, scripts only when useful, eval evidence, reports, packaging metadata, and clear next iteration recommendations.. Exclusions: one-off writing, translation, explanation, or brainstorming requests that do not need a reusable skill, general code review or debugging unless the user is packaging that workflow as a skill, raw private material that was not intentionally supplied as skill evidence, platform-specific plugin creation when the request is not about an agent skill package.",
  "recommended_action": "Intent is clear enough to package the first routeable version.",
  "context": {
    "job": "Turn repeated workflows, prompts, transcripts, runbooks, documents, or existing skill packages into routeable, evaluable, packageable, and governable agent skills for personal, team, library, or governed reuse.",
    "real_inputs": [
      "rough workflow notes, SOPs, runbooks, prompts, transcripts, documents, or repeated task descriptions",
      "an existing skill directory that needs refactor, evaluation, packaging, or governance hardening",
      "target platform requirements such as OpenAI, Claude, generic Agent Skills, or team distribution",
      "benchmark references, local constraints, desired maturity tier, and review standards"
    ],
    "primary_output": "A working skill package with lean SKILL.md, aligned agents/interface.yaml, justified references, scripts only when useful, eval evidence, reports, packaging metadata, and clear next iteration recommendations.",
    "description": "Create, refactor, evaluate, and package agent skills from workflows, prompts, transcripts, docs, or notes. Use when asked to create a skill, turn a repeated process into a reusable skill, improve an existing skill, add evals, or package a skill for team reuse.",
    "exclusions": [
      "one-off writing, translation, explanation, or brainstorming requests that do not need a reusable skill",
      "general code review or debugging unless the user is packaging that workflow as a skill",
      "raw private material that was not intentionally supplied as skill evidence",
      "platform-specific plugin creation when the request is not about an agent skill package"
    ],
    "constraints": [
      "keep SKILL.md lean and route primarily through frontmatter description",
      "put durable guidance in references, executable logic in scripts, and evidence in reports",
      "default to the lightest reliable mode before adding governance weight",
      "preserve portability across OpenAI, Claude, generic, and Agent Skills compatible targets",
      "avoid raw prompt, output, transcript, or private content in telemetry"
    ],
    "standards": [
      "trigger boundaries must be tested with should-trigger and should-not-trigger cases",
      "production and higher maturity work needs output eval, trust, runtime conformance, and Review Studio evidence",
      "governed work needs owner, review cadence, permission approvals, registry metadata, package verification, and install simulation",
      "generated reports should be bilingual or reviewer-friendly when they are user-facing",
      "each new asset must earn its place by reducing ambiguity, risk, or repeated work"
    ],
    "correction": "The 2.0 direction reframes this package from a Meta Skill factory into a Skill OS with Skill IR, compiler contracts, output eval, runtime conformance, trust, registry, Review Studio, Skill Atlas, and telemetry loops.",
    "user_references": [
      "Yao Meta Skill 2.0 upgrade plan",
      "Kami-style white report layout requirements for generated skill reports",
      "local Waza engineering habits for review, design, diagnosis, and implementation discipline"
    ]
  }
}
