mattpocock-skills
claudeMatt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Plan agent experiments, benchmark real tasks, compare saved results, diagnose failures, audit graders, and explore charts and tool replays.
Plugin bedrock-bench in openai-on-aws/benchmarks-openai. Commands read from the repo's manifest — 1 month ago.
audit-benchmarkAudit benchmark graders with correct solutions, alternate valid answers, malformed artifacts, and deliberate semantic mutants. Use to test false positives, false negatives, or AWS invariants before trusting benchmark results.
benchmark-agent-tasksRun AWS CDK repair, Terminal-Bench, SWE-bench, AWS-Bench, or starter agent tasks from chat; compare success, latency, token usage, and cost per successful task across Bedrock, OpenAI, OpenRouter, Codex, and OpenCode.
compare-experimentsCompare compatible saved Bedrock Bench experiments using task-paired effects, task-cluster uncertainty, complete cost accounting, and chart-ready exports. Use for baseline versus candidate analysis of recorded results.
design-experimentTurn a benchmark question into a bounded, reproducible Bedrock Bench experiment plan with explicit conditions, runnable configs, task counts, and budget assumptions before execution.
diagnose-failuresInventory and triage failures across saved Bedrock Bench runs, with grounded status categories, missing attempts, cost coverage, and evidence citations. Use for recurring failure patterns or failure heatmaps; use inspect-results for one attempt and compare-experiments for comparable performance diff
inspect-resultsBrowse the Bedrock Bench run library, replay recorded tools, compare compatible runs, and explain outcomes using saved reports and per-attempt evidence.
visualize-resultsCreate charts and diagrams from saved Bedrock Bench runs, including cost versus success, timing, token usage, compatible run history, and recorded tool sequences.
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Talk like caveman. Cut filler. Keep technical details explicit.
22 skills · 1 command · 3 agents · hooks
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
tasteskill 2.5.1: professional company websites at the figma.com and x.ai level, with one section per screen, real photographs, real product UI, effects kept for tech and gaming pages, and a real-browser checker and finish gate.
1 skill
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
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