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complex-task-protocol
Auto-discoverable wrapper for `.hforge/library/skills/complex-task-protocol/SKILL.md`.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Auto-discoverable wrapper for `.hforge/library/skills/complex-task-protocol/SKILL.md`.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | complex-task-protocol |
| description | Auto-discoverable wrapper for `.hforge/library/skills/complex-task-protocol/SKILL.md`. |
.hforge/library/skills/complex-task-protocol/SKILL.md.hforge/runtime/agent-brief.md.hforge/generated/agent-command-catalog.json.hforge/runtime/recursive/language-capabilities.jsonUse the canonical skill under .hforge/library/skills/ for execution. Treat this wrapper as a discovery entrypoint only. Activate the protocol by task complexity thresholds rather than by requiring a slash command.
Auto-discoverable wrapper for `.hforge/library/skills/bug-investigation/SKILL.md`.
Auto-discoverable wrapper for `.hforge/library/skills/double-diamond-feature/SKILL.md`.
Use for defects, regressions, outages, flaky tests, and unexpected behavior. Guides the agent through triage, containment, reproduction, hypotheses, root-cause evidence, fix verification, and recurrence prevention. Do not use as the primary workflow for new features; use double-diamond-feature instead.
Use for meaningful feature development before coding. Guides the agent through Discover, Define, Develop, and Deliver with evidence, options, validation, and rollback notes. Do not use for bugs, regressions, outages, or flaky tests; use bug-investigation instead.
Automatic operating protocol for complex agent tasks. Use when work is multi-step, risky, cross-module, orchestration-heavy, or likely to benefit from bounded sidecar help, verification discipline, recovery checkpoints, and durable learning capture.
Auto-discoverable wrapper for the Harness Forge recursive-investigate workflow. Use when a task is ambiguous, cross-module, investigation-heavy, or likely to benefit from Typed RLM, bounded subcalls, and durable recursive artifacts.