Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Recovers broken agent state via crash recovery, context overflow, and merge conflict protocols. Use when an agent session fails or a worktree is corrupted.
インストールする前に、エージェントに与えられる指示の中身を確認できます。
Provides recovery protocols for agents that encounter broken state mid-session. Damage control covers four failure classes: agent crashes with partial work on disk, context window overflow that causes state loss, merge conflicts blocking forward progress, and general session state corruption requiring reconciliation.
The skill does not prevent failures. It defines what to do after one has already happened, so recovery is consistent, auditable, and does not silently discard work.
git merge or git rebase produced conflicts the agent cannot
resolve automaticallySkill(leyline:risk-classification) instead)Skill(attune:war-room) instead)Skill(leyline:error-patterns) instead)Use this decision tree to route to the correct module:
flowchart TD
A[Failure detected] --> B{Agent process crashed\nor exited unexpectedly?}
B -->|Yes| C[modules/crash-recovery.md]
B -->|No| D{Context limit hit or\nprior decisions unavailable?}
D -->|Yes| E[modules/context-overflow.md]
D -->|No| F{git merge / rebase /\ncherry-pick conflicts?}
F -->|Yes| G[modules/merge-conflict-resolution.md]
F -->|No| H{State internally inconsistent?\ntask list vs disk vs git index}
H -->|Yes| I[modules/state-reconciliation.md]
H -->|No| J[No damage-control needed]
When multiple failure types overlap, start with
state-reconciliation.md to establish a known baseline, then
address the specific failure class.
Before executing Level 1+ tasks, complete the risk assessment
checklist from modules/risk-assessment-checklist.md. Answer
these five questions:
Required for Level 1 (Watch) and above. See
modules/risk-assessment-checklist.md for the full template and
examples.
# In your skill's frontmatter
dependencies: [leyline:damage-control]
Invoke a specific module when a failure class is identified:
# Crash detected
Skill(leyline:damage-control) → modules/crash-recovery.md
# Context limit reached
Skill(leyline:damage-control) → modules/context-overflow.md
For orchestrators managing multiple agents, invoke state-reconciliation at session boundaries regardless of whether a failure occurred. This establishes a verified checkpoint before the next work phase begins.
まだレビューはありません。使ってみた感想をお寄せください。
概要と使いどころ
Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
日本語の概要は準備中です。原文の説明を表示しています。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
日本語の概要は準備中です。原文の説明を表示しています。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
日本語の概要は準備中です。原文の説明を表示しています。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
日本語の概要は準備中です。原文の説明を表示しています。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
日本語の概要は準備中です。原文の説明を表示しています。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
日本語の概要は準備中です。原文の説明を表示しています。