superpowers
claudecodexCore skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
Get your agent's real runs into AgentX, then score them, then turn what they measure into a code fix. /instrument sets up a Python agent and proves it with traces it reads back; /run-eval evaluates it against a dataset it can also create - templates, files, or cases curated from live traces; /eval-fix triages the evaluation against the source and re-runs it on the same dataset.
Plugin agentx from marketplace agentx in AgentX-ai/AgentX-Eval-Skill. Commands read from the repo's manifest — 1 month ago.
auto-improveTurn an AgentX improvement report - production failures a human CONFIRMED during signal review, clustered into issues with recommendations - into triaged fixes applied to the agent's source code. Use whenever someone has an improvement report id from a self-host engine (AgentX-trace-eval, normally h
eval-fixTurn an AgentX self-host evaluation into a triaged code fix and a re-run against the same dataset, so a before-and-after comparison means something. Use whenever someone has an evaluation on a local AgentX self-host engine (AgentX-trace-eval, normally http://localhost:4700) and wants to know what to
instrumentSet an existing Python agent up on AgentX, end to end: read the project API key off the engine, write .env.agentx, install agentx-python from PyPI, initialise the SDK once, instrument the calls that are worth tracing, and then prove it by running the agent and reading its own traces back. Use whenev
run-evalRun an AgentX self-host evaluation of the local agent: pick or create the dataset and grading config (templates, an existing id, a CSV/file of Q&A, or cases curated from the agent's own live traces), write the harness that calls the agent per case with a linked trace, execute the run, and hand back
Core skills library for Claude Code: TDD, debugging, collaboration patterns, and proven techniques
15 skills · hooks
CMEM Pro for the Claude app - hooks stream tool use to cmem.ai and inject observations into new sessions and agents
3 skills · 1 MCP server · 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
Up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your coding agent's context.
1 MCP server
Build powerful, stateful CLI interfaces for any GUI application using the cli-anything harness methodology.
5 commands
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.