Indexed by skills.sh from boshu2/agentops

Score the complexity of any GitLab MR or GitHub PR using a 4-dimension framework: Size (20%), Cognitive Load (30%), Review Effort (30%), and Risk/Impact (20%...

Regex-based routing sends simple tasks to local AI, medium to mid-tier, complex to premium — saving 60%+ on API costs.

Measure cyclomatic complexity, cognitive complexity, and structural metrics for Python, JavaScript/TypeScript, and Go code. Use when analyzing code quality,...

Indexed by skills.sh from github/awesome-copilot

Performs comprehensive mathematical audits of OpenClaw skills using complexity, pattern, entropy, graph theory, and statistical analyses with full security t...

Survey an existing codebase to understand its structure, scope, architecture, and current state. Trigger on 'deep dive', 'explore this codebase', 'survey the...

Generate a concept dependency graph for AI projects. Identifies what you need to learn, in what order, adapted to project complexity.

Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would improve response quality. Use this as a pre-processing step before answering complex questions.

Automatically routes requests between two configured AI models based on task complexity, privacy needs, and user preferences for optimized AI usage.

Automatically routes requests between local and cloud AI models based on task complexity and privacy, with auto-detection and context tracking.

Auto Model Router - Automatically select the best model based on task complexity for OpenClaw agents

Execute self-directed coding loops with cleanup of redundant tests and error handling, adapting pipeline depth based on task complexity for efficient, qualit...

Automatically adjust OpenClaw's thinking level based on message complexity. Switch between low/medium/high modes intelligently with session persistence.

Triage an incoming insurance claim: check the coverage trigger against policy wording, band severity and complexity, screen for fraud indicators, set a first...

Analyze code quality metrics including lines of code by language, cyclomatic complexity (Python), function/class counts, comment ratios, and largest file ran...

Code refactoring patterns and techniques for improving code quality without changing behavior. Use for cleaning up legacy code, reducing complexity, or impro...

Visualizes repository complexity by counting files, lines of code, and grouping by extension. Use to assess project size or growth.

Analyze project metrics: lines of code, language distribution, function complexity, code-to-comment ratio, test coverage indicators, dependency counts, large...

Automatically assess task complexity and adjust reasoning level. Triggers on every user message to evaluate whether extended thinking (reasoning mode) would...

Classify, route, and orchestrate every incoming task. Use when receiving any user message �� determines task type, complexity, skill match, and execution pat...

Dynamically select the best AI model for a task based on complexity, cost, and availability in GitHub Copilot. Use when deciding between free/paid models, or when you want automatic model routing based on query analysis.

Iteratively rewrite essays to reduce AI detection scores while preserving meaning, complexity, and natural human writing style within defined linguistic metr...

Practical estimation techniques for software tasks — methods comparison, decomposition, complexity multipliers, buffer calculation, bias awareness, and communication strategies. Use when estimating features, sprint planning, or presenting timelines to stakeholders.

Gmail, Calendar, Drive, Docs, Sheets — NO Google Cloud Console required. Just OAuth sign-in. Zero setup complexity vs traditional Google API integrations.

Deep GraphQL schema workflow—modeling types, queries and mutations, N+1 and complexity limits, errors and pagination, federation risks, and evolution. Use wh...

Static code analysis tool. Detects security vulnerabilities, code smells, and complexity issues across 17 languages. All analysis runs locally — no code leav...

High-availability multi-role model router for OpenClaw. Discovers available models, maps them to role-based departments, routes tasks by complexity and domai...

Intelligent model routing for sub-agent task delegation. Choose the optimal model based on task complexity, cost, and capability requirements. Reduces costs...

Intelligent LLM proxy that routes requests to appropriate models based on complexity. Save money by using cheaper models for simple tasks. Tested with Anthropic, OpenAI, Gemini, Kimi/Moonshot, and Ollama.

Recommend local LLM model routes and quantization levels using hardware, privacy, task complexity, context size, and budget constraints. Use for Qwen/Ollama/...

Autonomous coding agent that systematically plans, implements, reviews, and delivers high-quality code. Handles tasks of any complexity by following a struct...

Match task complexity to the right model. Quick heuristic check before expensive tasks — recommends cheaper models when quality won't suffer. Fetches live pr...

Route model requests based on configured models, costs and task complexity. Use for routing general/low-complexity requests to the cheapest available model and for higher-complexity requests to stronger models.

Route each user request to the most cost-effective model or multi-model workflow based on task type, complexity, risk, latency, budget, tool needs, and verif...

Automatically switch between different AI models based on task complexity. Supports all available models in your OpenClaw setup. Triggers when detecting comp...

Explain code in plain language with complexity analysis

Detects codebase bloat via dead code, duplication, complexity, and doc bloat scans

Applies KISS, YAGNI, and SOLID principles for clean code with reduced complexity

Detects time and space complexity hotspots via AST scan

Automatically routes AI requests to cost-optimal models based on task complexity and budget, saving 30-50% on model expenses with adaptive learning.

Classifies tasks by complexity, plans execution, spawns and monitors subagents as needed, and reports progress and results continuously.

Detects and maps complexity imbalances across system boundaries. When one side of an interface absorbs all the complexity while the other stays artificially...

Audit password policies and authentication configurations for security compliance. Check password complexity, storage (hashing algorithms), rotation policies...

Strictest protein sequence analysis quality control workflow (3365→456 sequences). Includes literature validation, CD-HIT redundancy removal, complexity chec...

Professional protein sequence quality control and visualization workflow. Includes complete QC pipeline (length filter, CD-HIT, complexity check, motif verif...

Unified query router combining content-type detection, complexity scoring, and prefix-based routing. Routes queries to the optimal model with safety features...

Apply Critical Fallibilism to make decisions by binary testing ideas for decisive flaws, managing complexity, embracing criticism, and avoiding overreach.

Automatically selects the best AI model for queries by analyzing complexity to optimize cost and performance across multiple providers.

Auto-detect task complexity for Claude models (Haiku + Sonnet). Route simple tasks to Haiku, escalate complex ones to Sonnet. Save 50%+ on API costs. | 適用 Claude 模型（Haiku + Sonnet），自動偵測任務難度，簡單用 Haiku，複雜升級 Sonnet，輕鬆省下 50% 以上的費用。— RULES: Before responding, classify the task. If …

Auto-detect task complexity for Claude models (Haiku + Sonnet). Route simple tasks to Haiku, escalate complex ones to Sonnet. Save 50%+ on API costs. | 適用 Cl...

Classifies tasks by safety and complexity to route safe, negligible queries to gpt-5.1-codex-mini and escalates critical or executable tasks to gpt-5.3-codex.

Response calibration for Claude — match answer depth to question complexity. Stop getting 10-paragraph essays for 10-word questions. More signal, less noise.

Master optimization system - APPLIES TO EVERY RESPONSE. Before responding, classify task complexity (simple question vs analysis vs coding). Use Haiku for simple/navigation/extraction/status. Use Sonnet ONLY for writing/analysis/planning/debugging. Monitor context size - if >5…

Cost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task...

Project manager and task delegation system. Use when you need to break down complex work into smaller tasks, assign appropriate AI models based on complexity, spawn sub-agents for parallel execution, track progress, and manage token budgets. Ideal for research projects, multi-…

Automatically route tasks to the appropriate tool, agent, or workflow. Analyzes task intent and complexity to route to coding, research, trading, system, or...

Scan codebases for technical debt — TODO/FIXME comments, deprecated APIs, complexity hotspots, outdated patterns, missing tests, large files — then prioritiz...

Identify, categorize, and prioritize technical debt across a codebase — analyze TODOs, complexity hotspots, dependency age, test coverage gaps, and code dupl...

Smart task analysis with optimal tool prescription. Analyze any coding task by complexity, domain, scope, and risk — then prescribe the best combination of U...

Supreme model router for Venice.ai — the privacy-first, uncensored AI platform. Automatically classifies query complexity and routes to the cheapest adequate...

A wheel-spotting scout that finds reusable solutions before you build from scratch. Cost-controlled intelligent search with complexity-aware filtering, inten...

Generate ready-to-run shell loop commands for Claude Code, Gemini CLI, or Grok CLI, customized by AI tool, model, shell, complexity, and loop features.

Personal productivity system for task and capacity management. Create and organize tasks with rich attributes (priority, effort, complexity, tags), track tim...

USE FOR RAG/LLM grounding. Returns pre-extracted web content (text, tables, code) optimized for LLMs. GET + POST. Adjust max_tokens/count based on complexity...

Improve decision quality by clarifying the real problem, exposing hidden assumptions, reasoning from fundamental facts, reducing unnecessary complexity, and...

Structured workflow to analyze, plan, and execute feature modifications by scenario complexity, ensuring controlled, incremental, and risk-aware changes.

GraphQL anti-pattern & security analyzer -- detects query depth/complexity issues, resolver N+1 problems, over/under fetching, rate limiting & auth gaps, sch...

Automatically routes tasks to local or cloud AI models based on complexity, ensuring context continuity and single-entry model selection.

Deterministic rule-based system for classifying clarified input into a single primary task category and assigning execution complexity. Use when the Main Age...

Analyze, triage, and select the best issues to work on from GitHub repositories. Scores issues by reproducibility, scope, complexity, and community signal. P...

Tokens tell you how much you paid. Tasks tell you what you got. Tally tracks every OpenClaw task from start to finish — cost, complexity, and efficiency score.

Intelligent system that automatically determines when to create workflow documentation based on task complexity, repetition patterns, and user intent. Transf...