mattpocock-skills
claudeMatt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Expert guidance for instrumenting AI agents in production. Covers LLM call tracing, multi-agent coordination, tool execution, token/cost tracking, and evaluation quality for frameworks like LangChain, Claude Agent SDK, and custom agent loops.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin agent-observability in nexus-labs-automation/agent-observability. Commands read from the repo's manifest — 1 month ago.
decision-tracingTrace agent decision-making, tool selection, and reasoning chains
error-retry-trackingInstrument error handling, retries, fallbacks, and failure patterns
evaluation-qualityInstrument evaluation metrics, quality scores, and feedback loops
guardrails-safetyInstrument safety checks, content filters, and guardrails for agent outputs
human-in-the-loopInstrument human approval workflows, feedback loops, and escalations
instrumentation-planningPlan what to measure in AI agent systems using tiered approach
llm-call-tracingInstrument LLM API calls with proper spans, tokens, and latency
memory-rag-instrumentationInstrument RAG retrieval, memory operations, and context management
multi-agent-coordinationInstrument multi-agent workflows, handoffs, and parent-child relationships
production-eval-strategyStrategies for evaluating agents in production - sampling, baselines, and regression detection
prompt-versioningTrack prompt versions, A/B test variants, and measure prompt performance
session-conversation-trackingInstrument sessions, conversations, and multi-turn interactions
token-cost-trackingTrack token usage and costs across agents for budget management
tool-call-trackingInstrument agent tool executions with proper context and error handling
/agent-observability:auditAudit existing agent telemetry and identify gaps
/agent-observability:instrumentGenerate an instrumentation plan for AI agent systems
codebase-analyzerExplores agent codebases to understand architecture, detect existing telemetry, and identify instrumentation opportunities
instrumentation-reviewerReviews code changes for observability quality - anti-patterns, missing context, naming conventions
Problems found in this repo's manifests
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
AI-powered codebase understanding — analyze, visualize, and explain any project
9 skills · 10 agents · hooks
Open-source AI job search that runs locally in your AI coding CLI: scan job portals, evaluate listings into a structured A-H report with a 1-5 score, tailor your CV, track applications
5 skills · hooks
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Rewrite AI-sounding text so it reads like the writer without changing what it says.
1 skill
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