fix-failing-pipelines
This skill should be used when the user asks to "fix pipelines", "fix CI", "check staging pipelines", "fix failing workflows", "fix failing actions", or wants to find and fix failing GitHub Actions workflows on the staging branch of the babysitter repo.
retrospect-external-babysitter-run
For a repository in the babysitter-users catalog, locate its babysitter processes and any committed runs (.a5c/runs/<runId>/) and perform a retrospective on a chosen run -- what went well, what failed, process suggestions, quality of effect design, breakpoint patterns -- mirroring the /babysitter:retrospect workflow but applied to an external repo. Invoke when asked to "retrospect on repo X's run", "analyze how someone else used babysitter", or "review an external babysitter run".
architecture-patterns
System and API design guidance covering component boundaries, data flow, integration patterns, and scalability considerations.
code-generation
Minimal, pattern-matching code output. Write the least code that satisfies requirements. Match existing project patterns. Use Write/Edit tools only.
debugging-patterns
Root cause analysis frameworks including log-first investigation, git bisect correlation, and pattern-based diagnosis with confidence scoring.
planning-patterns
Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.
session-memory
Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.
test-driven-development
Strict RED-GREEN-REFACTOR cycle enforcement. Tests are never skipped or deferred. Run mode only, never watch mode. Exit code evidence mandatory.
verification-before-completion
Evidence requirement enforcement ensuring all claims are backed by logs, test results, or exit codes. Zero = success, non-zero = failure. No guessing allowed.
checkpoint-management
Git-backed state management for safe rollback. Create and restore checkpoints with tagged commits and metadata tracking.
mcp-host-styling-integration
Integrates MCP App UI with host theming system. Applies host CSS variables, handles onhostcontextchanged, safe area insets, display mode detection, and fullscreen configuration.
executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.
cross-artifact-analysis
Perform cross-artifact consistency and coverage analysis across constitution, specification, plan, and task artifacts to detect gaps, conflicts, and misalignments before implementation.
self-optimization
SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
security-hardening
AIDefence security layer with prompt injection blocking, input validation, sandboxed execution, output sanitization, and STRIDE threat modeling.
consensus-mechanisms
Multi-protocol consensus for agent swarms supporting Raft leader election, Byzantine fault tolerance, Gossip state propagation, and CRDT conflict-free merging.
anti-drift
Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
mem0-integration
Mem0 memory layer integration for AI agents. Implement persistent, semantic memory for long-term context retention and personalization.
memory-summarization
Conversation summarization for memory compression and context management
session-management
Manage agent sessions including initialization, handoffs, revival (seance), and persistent identity for Polecats and Crew agents.
langchain-react-agent
LangChain ReAct agent implementation with tool binding for reasoning and action loops
langgraph-hitl
Human-in-the-loop integration for LangGraph workflows with approval and intervention points
mcp-app-verification
Comprehensive verification checklists for MCP Apps. Tests with basic-host reference, validates handler-before-connect, text fallback, resource URI linking, single-file bundling, host styling, CSP, and legacy pattern detection.
hotfix-triage
Urgent issue classification, root cause analysis, and fast-path routing for production hotfixes
knowledge-graph-management
Capture, validate, query, and sync architectural patterns and design decisions in the knowledge graph
maintenance-orchestration
Technical debt management including branch cleanup, doc verification, TODO scanning, and dependency auditing
requirements-interview
Interactive PM interview with expertise-adaptive questioning for requirements elicitation
eval-harness
Evaluation harness for testing agent and skill quality through structured benchmarks, regression tests, and quality scoring.
specification-generation
Convert requirements into structured technical specifications with architecture decisions
story-decomposition
Break technical specifications into small, implementable stories with dependency ordering
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment.
autonomous-coding-engagement
Autonomously engage with complex coding tasks — multi-step planning, tool use, self-correction, and solution verification without human intervention.
closed-book-frontier-reasoning
Perform closed-book frontier reasoning — complex problem solving from internalized knowledge without external retrieval or tool use.
using-superpowers
Use when starting any conversation. Establishes how to find and use skills, requiring skill invocation before any response.
milvus-integration
Milvus distributed vector database configuration for large-scale RAG applications
multi-app-orchestration
Orchestrate workflows across multiple applications and APIs — inter-app coordination, data handoff, and multi-system task completion.
multi-turn-tool-use
Design agents for multi-turn tool use — sequential tool calls, result accumulation, error recovery, and complex task decomposition over multiple turns.
nemo-guardrails
NVIDIA NeMo Guardrails configuration for conversational safety and control
requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code. Creates bite-sized TDD implementation plans with dependency tracking.
cog-weekly-reflection
Cross-domain pattern analysis with personal, professional, and project domain synthesis
cog-url-extraction
Save URLs with auto-extracted insights, credibility scoring, and vault routing
setfit-few-shot
SetFit few-shot learning for efficient intent classification with minimal data
vector-memory
HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.
cog-team-intelligence
Cross-reference GitHub, Linear, Slack, and PostHog with bidirectional sync for team briefs
systematic-debugging
Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.
cog-daily-intelligence
Generate personalized verified news briefs with 7-day freshness and 95%+ source accuracy
cog-knowledge-consolidation
Build structured knowledge frameworks from scattered vault notes with source attribution
verification
Verification-before-completion discipline ensuring all success criteria are met, tests pass, and reviews complete before declaring work done.
cog-meeting-processing
Process meeting recordings and transcripts into decisions, action items, and team dynamics
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