GitHub
sme-agent-protocol
Mandatory protocol for all SME (Subject Matter Expert) agents. Defines fact-finding requirements, output contracts, confidence/risk assessment, and qualification of advice.
☆ 10View skill
tachyon-beep AI Skills
GitHub ↗Browse published AI skills maintained by tachyon-beep. Compare skill descriptions and follow each source repository for setup instructions.
Author statistics
Indexed skills
52Repository stars across indexed skills
300Repository forks
90Average repository stars per indexed skill
6Repository stars may repeat across skills from the same repository.
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GitHub
using-quality-engineering
Use when user asks about E2E testing, performance testing, chaos engineering, test automation, flaky tests, test data management, or quality practices - routes to specialist reference sheets with deep expertise...
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GitHub
quality-assurance
Use when deciding test strategy, struggling with code reviews, shipping without tests, or conflating verification with validation
☆ 10View skill
GitHub
using-sdlc-engineering
Use when users request SDLC guidance, CMMI processes, requirements management, design documentation, quality assurance, governance, metrics, or adopting processes on existing projects
☆ 10View skill
GitHub
platform-integration
Use when implementing CMMI processes in GitHub or Azure DevOps, migrating between platforms, or establishing traceability/compliance on GitHub/Azure - platform-specific process guidance
☆ 10View skill
GitHub
design-and-build
Use when making architecture decisions, setting up CI/CD, managing technical debt, or choosing branching strategies - enforces ADR requirements and prevents resume-driven design
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GitHub
reward-shaping-engineering
Master reward function design - potential-based shaping, hacking patterns, validation
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GitHub
prioritizing-improvements
Use when stakeholders pressure you to change technical priorities and you're tempted to compromise on security-first or call it synthesis - enforces risk-based prioritization over stakeholder preferences
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GitHub
exploration-strategies
Master ε-greedy, UCB, curiosity-driven, RND, intrinsic motivation exploration
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GitHub
identifying-technical-debt
Use when cataloging technical debt under time pressure and tempted to explain choices instead of delivering document - enforces execution discipline with scoped delivery patterns for partial catalogs
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GitHub
rl-debugging
Systematic RL debugging - diagnose learning failures, common bugs, diagnosis trees
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GitHub
offline-rl
Master CQL, IQL, BCQ - offline RL from fixed datasets without environment interaction
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GitHub
value-based-methods
Master DQN, Double DQN, Dueling DQN, Rainbow - value-based methods for discrete actions
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GitHub
policy-gradient-methods
Master REINFORCE, PPO, TRPO - direct policy optimization with trust regions
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GitHub
model-based-rl
Master Dyna-Q, MBPO, Dreamer - model-based RL with world models and planning
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GitHub
validating-architecture-analysis
Validate architecture artifacts against contracts and consistency requirements - codifies systematic validation practices with professional reporting
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GitHub
generating-architecture-diagrams
Generate C4 architecture diagrams from subsystem catalogs - codifies abstraction strategies, notation conventions, and selection criteria
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GitHub
using-system-archaeologist
Use when analyzing existing codebases to generate architecture documentation - coordinates subagent-driven exploration with mandatory workspace structure, validation gates, and pressure-resistant workflows
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GitHub
rl-environments
Gym/gymnasium API - custom environments, spaces, wrappers, vectorization, debugging
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GitHub
actor-critic-methods
Master A2C, A3C, SAC, TD3 - actor-critic methods for continuous control
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GitHub
using-deep-rl
Routes to appropriate deep-RL skills based on problem type and algorithm family
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GitHub
assessing-architecture-quality
Use when assessing codebase architecture and you feel pressure to soften critique, lead with strengths, or frame problems diplomatically - provides evidence-based critical assessment resisting relationship and...
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GitHub
multi-agent-rl
Master QMIX, MADDPG, CTDE - multi-agent learning with coordination and credit assignment
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GitHub
analyzing-unknown-codebases
Analyze unfamiliar codebases systematically to produce subsystem catalog entries - emphasizes strict contract compliance and confidence marking
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The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.