beads-workflow
claudecodexTask management workflow skills using the beads (bd) CLI
7 skills
Plan, run, and document reproducible experiments with project-owned conventions
Plugin run-experiments from marketplace jonniesweb-skills in jonniesweb/skills. Commands read from the repo's manifest — 1 month ago.
run-experimentsPlan, run, and document reproducible software experiments using project-owned Markdown notebooks. Use for benchmarks, evaluations, A/B tests, parameter sweeps, model or algorithm comparisons, performance investigations, and any empirical line of inquiry that should preserve its hypothesis, metrics,
Task management workflow skills using the beads (bd) CLI
7 skills
Git worktree workflow skills: fix in a worktree + PR, rebase onto origin/main
3 skills
A self-reinforcing agent loop: mine session transcripts to file verified GitHub issues, then autonomously work that backlog into merged PRs
2 skills
Logs Claude Code sessions to CXDB context store
hooks
LLM-guided optimizer for any text artifact using the gepa CLI
1 skill
Session retrospective skill for reflecting on conversations
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
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
Install the "AAS AI Product & Evaluation Ops" workflow plugin from Agentic Awesome Skills.
13 skills
Use Amplitude as an expert analyst — instrument Amplitude, discover product opportunities, analyze charts, create dashboards, manage experiments, and understand users and accounts.
36 skills · 1 MCP server
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
ML model training pipelines, hyperparameter tuning, model deployment automation, experiment tracking, and MLOps workflows
2 skills · 1 command · 3 agents
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