yaojingang
54 lines
4.3 KiB
JSON
54 lines
4.3 KiB
JSON
{
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"score": 100,
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"band": "high",
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"gate_passed": true,
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"strengths": [
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"The recurring job is concrete enough to anchor the package.",
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"Real input shape is explicit.",
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"The hand-back output is concrete.",
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"Boundary exclusions are already explicit.",
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"Operational constraints are visible."
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],
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"gaps": [],
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"follow_up_questions": [],
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"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.",
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"recommended_action": "Intent is clear enough to package the first routeable version.",
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"context": {
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"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.",
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"real_inputs": [
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"rough workflow notes, SOPs, runbooks, prompts, transcripts, documents, or repeated task descriptions",
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"an existing skill directory that needs refactor, evaluation, packaging, or governance hardening",
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"target platform requirements such as OpenAI, Claude, generic Agent Skills, or team distribution",
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"benchmark references, local constraints, desired maturity tier, and review standards"
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],
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"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.",
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"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.",
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"exclusions": [
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"one-off writing, translation, explanation, or brainstorming requests that do not need a reusable skill",
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"general code review or debugging unless the user is packaging that workflow as a skill",
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"raw private material that was not intentionally supplied as skill evidence",
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"platform-specific plugin creation when the request is not about an agent skill package"
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],
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"constraints": [
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"keep SKILL.md lean and route primarily through frontmatter description",
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"put durable guidance in references, executable logic in scripts, and evidence in reports",
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"default to the lightest reliable mode before adding governance weight",
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"preserve portability across OpenAI, Claude, generic, and Agent Skills compatible targets",
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"avoid raw prompt, output, transcript, or private content in telemetry"
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],
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"standards": [
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"trigger boundaries must be tested with should-trigger and should-not-trigger cases",
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"production and higher maturity work needs output eval, trust, runtime conformance, and Review Studio evidence",
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"governed work needs owner, review cadence, permission approvals, registry metadata, package verification, and install simulation",
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"generated reports should be bilingual or reviewer-friendly when they are user-facing",
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"each new asset must earn its place by reducing ambiguity, risk, or repeated work"
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],
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"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.",
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"user_references": [
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"Yao Meta Skill 2.0 upgrade plan",
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"Kami-style white report layout requirements for generated skill reports",
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"local Waza engineering habits for review, design, diagnosis, and implementation discipline"
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]
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}
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}
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