一键导入
task-core-loop
Shared core workflow for MemorySmith task execution: scope, evidence, minimal-change implementation, validation, and tracking updates.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Shared core workflow for MemorySmith task execution: scope, evidence, minimal-change implementation, validation, and tracking updates.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | task-core-loop |
| description | Shared core workflow for MemorySmith task execution: scope, evidence, minimal-change implementation, validation, and tracking updates. |
| argument-hint | Task goal, scope boundaries, and validation target |
| user-invocable | false |
| disable-model-invocation | false |
Use this internal skill as the shared base for implementation-focused workflows.
/tasks traceability for implementation work.pwsh ./Scripts/SkillHooks/Get-CiSnapshot.ps1 -Branch <branch> -Commit <sha>pwsh ./Scripts/SkillHooks/Wait-PrReviewState.ps1 -PullNumber <number> -PollSeconds 60 -TimeoutMinutes 20pwsh ./Scripts/SkillHooks/New-TaskEvidenceComment.ps1 ...pwsh ./Scripts/SkillHooks/New-CouncilEvidenceBundle.ps1 ...Monitor CI conservatively with snapshot-first status checks and actionable failure triage.
Submit a pull request, request review, triage comments, fix issues, and use script-driven review waits with a bounded timeout before merge/cleanup. Use when implementation is complete and the branch is ready for PR handling end to end.
Audit and reconcile drift between agent/prompt docs and actual runtime capabilities in MemorySmith services/controllers.
Run a repeatable hygiene audit over Data/Memories and Data/Pages for drift, stale facts, broken source links, and cleanup candidates.
Run a MemorySmith LLM council review for high-impact decisions. Use when evaluating schema changes, retrieval/search behavior, chat or agent write governance, wiki conventions, or long-term architecture tradeoffs with explicit dissent, risks, confidence, and acceptance criteria.
Run an agent self-review for skill and prompt improvements, including script extraction opportunities and token-conscious workflow upgrades.