Batch processing issues, PRs, discussions, implementations, etc.
原文语言:英语
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Batch processing issues, PRs, discussions, implementations, etc.
原文语言:英语
Session self-verification checklist
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Session self-verification checklist
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Collect GitHub repo health/usage stats into merged JSON.
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Compress a Rosetta KB prompt artifact (skill · workflow · phase · rule · agent · template · generic) by stripping structural tautology and ineffective scaffolding while preserving every importance-bearing token. Use when the user asks to compress, shorten,…
原文语言:英语
To write, design, review, simplify, restructure, or standardize OSS project documentation
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To merge main branch, exact context and instructions
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To synchronize web site with changes made to local *.md files
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To synchronize CHANGELOG.md with changes made last week (mon - sun)
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To validate story readiness for a sprint or to break work into a human WBS.
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To generate, populate, and use a project codemap
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To orchestrate parallel coding-agent farms (Claude, Codex, Copilot, Gemini, etc.) on isolated git worktrees.
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To author, register, and test Rosetta hooks, add a SemanticKind, or debug a hook that won't fire.
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To author, adapt, review, and validate prompts (skills, agents, workflows, rules, etc.) with brief, contracts, and a validation pack.
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To implement features, fix bugs, and refactor with KISS/SOLID/DRY and systematic validation.
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MUST activate when action OR its consequence is potentially dangerous/irreversible/destructive, or HIGH RISK, or environment is stage, pre-prod, prod, or blast radius.
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To gather QA source artifacts from issue tracker, wiki, test management system
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To investigate errors, test failures, and unexpected behavior — root cause before fix.
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To decide architecture — alternatives, tradeoffs, committed decision with rationale, boundaries, domain-specific concerns.
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MUST activate when intent is unclear, or cannot follow or deviate from original intent, or easily or reliably solve the problem, something came as SURPRISE or UNEXPECTED, you cannot bet $100 on solution, unknowns or assumptions critically affect solution, you…
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To establish what exists — affected areas, behavior, prior attempts, dependencies, data.
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To build an AI harness: run, observe, validate, automate repeated work faster — CLI/MCP actions, devcontainers, skills, subagents, hooks, pipelines, automations.
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MUST activate for ALL tasks — planning, execution, validation, review: session-wide work with human together, human-in-the-loop questioning, approvals, stop-and-wait vs proceed. NEVER assume approval. MANDATORY unless user requested EXACTLY `fully autonomous`…
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To partition large workspaces (100+ files) into scoped subagent tasks when context is insufficient.
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To load the project's business, behavioral, and technical context.
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To rewrite text in a clear, natural, honest human tone — no AI slop, hype, or robotic phrasing.
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To delegate, prompt and manage subagents. MUST activate to spawn subagent with a quality prompt, unless trivial.
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To build execution-ready AI sessions graph with intent/ACs/checklists.
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Diagnose instruction defects and optionally submit Rosetta GitHub issue
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To run QA engineering — requirements/gap analysis, scenario & spec design, test implementation, failure triage — over the QA knowledge base.
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To resolve QA session paths, identifiers/slugs, and state-file shape
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To ask targeted clarification questions only when high-impact unknowns block safe execution.
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To apply structured meta-cognitive thinking to complex problems. Invoke on explicit only.
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To author, update, and validate functional/non-functional requirements as atomic units with user approval.
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To consume approved requirements for planning, implementation, and validation, with traceability and HITL.
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To run systematic deep research via meta-prompting — grounded references, incremental tracking, self-validation.
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To reverse-engineer code into a spec: extract behavior and domain logic — WHAT and WHY, not HOW.
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MUST activate before execution when environment has access to databases, cloud services, S3, or similar external systems, any access to servers of higher environments, and when assessing environment risk level.
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Rosetta identifies and routes user request to the most matching workflow
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Run authorized, evidence-preserving security reviews and prepare remediation inputs.
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复制这段 Prompt,发给你正在使用的 AI 助手。
Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/griddynamics/rosetta.暂时无法加载仓库 README。你仍可浏览下方的 Skill 目录。