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alchemists-orchid.ghostty

alchemists-orchid.ghostty 收录了来自 Rynaro 的 7 个 skills,并提供仓库级职业覆盖和站内 skill 详情页。

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1
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2026-05-22
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职业覆盖
3 个职业分类 · 已分类 100%
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这个仓库中的 skills

apivr-context-engineering
软件开发工程师

Load at the start of the APIVR-Δ Analyze phase. Techniques for building a repo map, running progressive disclosure, and maximising context relevance for coding tasks. Use whenever you need to understand unfamiliar code before editing it, or when an existing Discovery Report feels under-grounded.

2026-05-22
apivr-failure-recovery
软件质量保证分析师与测试员

Load when the APIVR-Δ Verify phase produces failures — test fails, lint error, build break, or three consecutive unsuccessful attempts at the same category. Provides the failure classification taxonomy, bounded debugging protocol, and escalation thresholds. Use to avoid the 'random retries' anti-pattern.

2026-05-22
apivr-memory-management
软件开发工程师

Load at APIVR-Δ session start, session end, or when you notice a repeating pattern across tasks. Reflexion-style episodic memory protocol: read memory before planning; write after Verify and Reflect; consolidate at session end. Use to preserve learned patterns, failure classifications, and delta history across sessions.

2026-05-22
apivr-methodology
软件开发工程师

Full APIVR-Δ cycle reference — A(nalyze) → P(lan) → I(mplement) → V(erify) → Δ(Delta)/R(eflect). Use when the task is a non-trivial feature implementation in a brownfield codebase and you need the complete methodology reference: complexity routing, evidence-grounded planning rules, test-anchoring requirements, and failure-escalation thresholds.

2026-05-22
apivr-verify-incoming
软件质量保证分析师与测试员

Load when reading any upstream artefact handed off by ATLAS (scout-report), SPECTRA (spec), VIGIL (root-cause-report), or FORGE (reasoning-report). Checks for a sibling .envelope.json, validates it against ECL v1.0 schemas, and appends a verify_pass or verify_fail trace event. WARN-ONLY on failure — the payload is always processed.

2026-05-22
spectra-planning
项目管理专家

Decision-ready specifications via the SPECTRA cycle. Use for complex features (complexity ≥7/12), multi-component/service changes, ambiguous requirements needing structured decomposition, or any task where 'just start coding' would require significant rework. Produces a dual-format spec (Markdown + YAML/JSON), never code.

2026-05-22
spectra-planning
项目管理专家

Decision-ready specifications via the SPECTRA cycle. Use for complex features (complexity ≥7/12), multi-component/service changes, ambiguous requirements needing structured decomposition, or any task where 'just start coding' would require significant rework. Produces a dual-format spec (Markdown + YAML/JSON), never code.

2026-05-22