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Agent skills
ai-agents

Topic: ai-agents

18,135 skills in this topic.

reviewdog Automated code review and security linting integration for CI/CD pipelines using reviewdog. Aggregates findings from multiple security and quality tools (SAST, linters, formatters) into unified code review comments on pull requests. Use when: (1) Integrating security scanning into code review workflows, (2) Automating security feedback on pull requests, (3) Consolidating multiple tool outputs into actionable review comments, (4) Enforcing secure coding standards in CI/CD pipelines, (5) Providing inline security annotations during development.
AgentSecOps/SecOpsAgentKit 84
sast-horusec Multi-language static application security testing using Horusec with support for 18+ programming languages and 20+ security analysis tools. Performs SAST scans, secret detection in git history, and provides vulnerability findings with severity classification. Use when: (1) Analyzing code for security vulnerabilities across multiple languages simultaneously, (2) Detecting exposed secrets and credentials in git history, (3) Integrating SAST into CI/CD pipelines for secure SDLC, (4) Performing comprehensive security analysis during development, (5) Managing false positives and prioritizing security findings.
AgentSecOps/SecOpsAgentKit 84
sbom-syft Software Bill of Materials (SBOM) generation using Syft for container images, filesystems, and archives. Detects packages across 28+ ecosystems with multi-format output support (CycloneDX, SPDX, syft-json). Enables vulnerability assessment, license compliance, and supply chain security. Use when: (1) Generating SBOMs for container images or applications, (2) Analyzing software dependencies and packages for vulnerability scanning, (3) Tracking license compliance across dependencies, (4) Integrating SBOM generation into CI/CD for supply chain security, (5) Creating signed SBOM attestations for software provenance.
AgentSecOps/SecOpsAgentKit 84
pytm Python-based threat modeling using pytm library for programmatic STRIDE analysis, data flow diagram generation, and automated security threat identification. Use when: (1) Creating threat models programmatically using Python code, (2) Generating data flow diagrams (DFDs) with automatic STRIDE threat identification, (3) Integrating threat modeling into CI/CD pipelines and shift-left security practices, (4) Analyzing system architecture for security threats across trust boundaries, (5) Producing threat reports with STRIDE categories and mitigation recommendations, (6) Maintaining threat models as code for version control and automation.
AgentSecOps/SecOpsAgentKit 84
agency-ladder Plan the v1→v2→v3 agency progression for AI features. Walk through mapping how autonomy increases over time, define promotion criteria, and generate artifacts for stakeholder alignment. Based on CC/CD framework.
breethomas/bette-think 13
agent-workflow Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.
breethomas/bette-think 13
ai-cost-check Calculate AI feature costs and challenge if you actually need it. Invokes ai-cost-analyzer agent for detailed economics modeling.
breethomas/bette-think 13
ai-debug Diagnose why an AI feature is underperforming, hallucinating, or behaving inconsistently. Uses 4D audit to work backwards from symptoms to root cause.
breethomas/bette-think 13
ai-health-check Pre-launch health check that blocks you from shipping broken AI features. Grades 6 dimensions (model selection, data quality, cost, monitoring, failure UX, optimization).
breethomas/bette-think 13
calibrate Post-launch AI feature calibration workflow. Document error patterns, review eval performance, and decide on agency promotion. Based on CC/CD framework for continuous calibration of AI products.
breethomas/bette-think 13
coder Apply Brian Balfour's CODER framework to drive organizational AI adoption. Constraints, Ownership, Directives, Expectations, Rewards.
breethomas/bette-think 13
competitive-research Systematic competitive intelligence with parallel agent analysis. Analyzes competitors thoroughly and synthesizes into actionable insights.
breethomas/bette-think 13
context-engineering [ARCHIVED] Full 4D Context Canvas reference. For new AI features, use /spec --ai. For debugging, use /ai-debug. For quality checks, use /context-check.
breethomas/bette-think 13
four-fits Find which fit is broken before you burn cash scaling. Brian Balfour's framework for validating sustainable growth readiness.
breethomas/bette-think 13
four-risks Run Marty Cagan's Four Risks assessment on an issue (value, usability, feasibility, viability). Use when evaluating features before building.
breethomas/bette-think 13
growth-loops Find your growth loop or stay stuck in linear acquisition hell. Identify viral, content, network, and paid loop opportunities using Elena Verna's framework.
breethomas/bette-think 13
issue-audit Understand how a team organizes work in Linear. Helps PMs onboarding to new teams learn conventions, see examples, and know what questions to ask.
breethomas/bette-think 13
lno-prioritize Find out if you're spending time on the wrong things. Categorize backlog by Leverage/Neutral/Overhead and challenge your time allocation.
breethomas/bette-think 13
now-next-later Generate a Now-Next-Later roadmap using Janna Bastow's framework. Communicates sequence and certainty without false dates.
breethomas/bette-think 13
pm-frameworks Expert knowledge of proven product management frameworks for discovery, growth, measurement, planning, and AI-era practices.
breethomas/bette-think 13
pmf-survey Create and analyze a PMF survey using Rahul Vohra's Superhuman framework. The magic 40% benchmark for product-market fit.
breethomas/bette-think 13
prd-writer Full 5-stage PRD framework for complex features. Use for deep PRD work via /spec --deep full-prd. For quick feature specs, use /spec --feature instead.
breethomas/bette-think 13
project-health Deep-dive health check on a single Linear project. Produces assessment with 7 dimensions - On Track / At Risk / Stalled.
breethomas/bette-think 13
prompt-engineering Expert prompt optimization system for building production-ready AI features. Use when users request help improving prompts, want to create system prompts, need prompt review/critique, ask for prompt optimization strategies, want to analyze prompt effectiveness, mention prompt engineering best practices, request prompt templates, or need guidance on structuring AI instructions. Also use when users provide prompts and want suggestions for improvement.
breethomas/bette-think 13