Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
中文简介正在准备中。当前显示原文说明。
Recovers broken agent state via crash recovery, context overflow, and merge conflict protocols. Use when an agent session fails or a worktree is corrupted.
中文简介正在准备中。当前显示原文说明。
查看安装方法安装前可以查看交给 AI 代理的指令内容。
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.
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
中文简介正在准备中。当前显示原文说明。
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
中文简介正在准备中。当前显示原文说明。
Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
中文简介正在准备中。当前显示原文说明。
Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
中文简介正在准备中。当前显示原文说明。
Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
中文简介正在准备中。当前显示原文说明。
Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
中文简介正在准备中。当前显示原文说明。