ReddRadar
Topic: claude-code-skills
8,614 skills in this topic.
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promote
alirezarezvani/claude-skills 8,805
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mcp-server-builder
MCP Server Builder
alirezarezvani/claude-skills 8,805
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prompt-governance
alirezarezvani/claude-skills 8,805
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qms-audit-expert
alirezarezvani/claude-skills 8,805
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quality-documentation-manager
alirezarezvani/claude-skills 8,805
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quality-manager-qmr
alirezarezvani/claude-skills 8,805
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quality-manager-qms-iso13485
alirezarezvani/claude-skills 8,805
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llm-cost-optimizer
Use when you need to reduce LLM API spend, control token usage, route between models by cost/quality, implement prompt caching, or build cost observability for AI features. Triggers: 'my AI costs are too high', 'optimize token usage', 'which model should I use', 'LLM spend is out of control', 'implement prompt caching'. NOT for RAG pipeline design (use rag-architect). NOT for prompt writing quality (use senior-prompt-engineer).
alirezarezvani/claude-skills 8,805
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ra-qm-team-main
alirezarezvani/claude-skills 8,805
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interview-system-designer
This skill should be used when the user asks to "design interview processes", "create hiring pipelines", "calibrate interview loops", "generate interview questions", "design competency matrices", "analyze interviewer bias", "create scoring rubrics", "build question banks", or "optimize hiring systems". Use for designing role-specific interview loops, competency assessments, and hiring calibration systems.
alirezarezvani/claude-skills 8,805
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run
Run a single experiment iteration. Edit the target file, evaluate, keep or discard.
alirezarezvani/claude-skills 8,805
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browser-automation
Use when the user asks to automate browser tasks, scrape websites, fill forms, capture screenshots, extract structured data from web pages, or build web automation workflows. NOT for testing — use playwright-pro for that.
alirezarezvani/claude-skills 8,805
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saas-metrics-coach
alirezarezvani/claude-skills 8,805
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saas-scaffolder
alirezarezvani/claude-skills 8,805
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status
Show experiment dashboard with results, active loops, and progress.
alirezarezvani/claude-skills 8,805
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setup
Set up a new autoresearch experiment interactively. Collects domain, target file, eval command, metric, direction, and evaluator.
alirezarezvani/claude-skills 8,805
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scenario-war-room
alirezarezvani/claude-skills 8,805
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schema-markup
alirezarezvani/claude-skills 8,805
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self-improving-agent
alirezarezvani/claude-skills 8,805
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autoresearch-agent
Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation command that outputs a metric, and a git repo.
alirezarezvani/claude-skills 8,805
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senior-backend
alirezarezvani/claude-skills 8,805
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senior-architect
alirezarezvani/claude-skills 8,805
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security-pen-testing
alirezarezvani/claude-skills 8,805
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resume
Resume a paused experiment. Checkout the experiment branch, read results history, continue iterating.
alirezarezvani/claude-skills 8,805