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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.
☆ 10Voir le skill
tachyon-beep AI Skills
GitHub ↗Explorez les skills IA publiés de tachyon-beep et consultez leurs instructions source.
Statistiques de l’auteur
Skills indexés
52Étoiles des dépôts des skills indexés
300Forks du dépôt
90Moyenne des étoiles par skill indexé
6Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Catégories populaires
Indexation récente
Explorer
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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...
☆ 10Voir le skill
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quality-assurance
Use when deciding test strategy, struggling with code reviews, shipping without tests, or conflating verification with validation
☆ 10Voir le skill
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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
☆ 10Voir le skill
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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
☆ 10Voir le skill
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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
☆ 10Voir le skill
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reward-shaping-engineering
Master reward function design - potential-based shaping, hacking patterns, validation
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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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exploration-strategies
Master ε-greedy, UCB, curiosity-driven, RND, intrinsic motivation exploration
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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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rl-debugging
Systematic RL debugging - diagnose learning failures, common bugs, diagnosis trees
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offline-rl
Master CQL, IQL, BCQ - offline RL from fixed datasets without environment interaction
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value-based-methods
Master DQN, Double DQN, Dueling DQN, Rainbow - value-based methods for discrete actions
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policy-gradient-methods
Master REINFORCE, PPO, TRPO - direct policy optimization with trust regions
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model-based-rl
Master Dyna-Q, MBPO, Dreamer - model-based RL with world models and planning
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validating-architecture-analysis
Validate architecture artifacts against contracts and consistency requirements - codifies systematic validation practices with professional reporting
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generating-architecture-diagrams
Generate C4 architecture diagrams from subsystem catalogs - codifies abstraction strategies, notation conventions, and selection criteria
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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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rl-environments
Gym/gymnasium API - custom environments, spaces, wrappers, vectorization, debugging
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actor-critic-methods
Master A2C, A3C, SAC, TD3 - actor-critic methods for continuous control
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using-deep-rl
Routes to appropriate deep-RL skills based on problem type and algorithm family
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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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multi-agent-rl
Master QMIX, MADDPG, CTDE - multi-agent learning with coordination and credit assignment
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analyzing-unknown-codebases
Analyze unfamiliar codebases systematically to produce subsystem catalog entries - emphasizes strict contract compliance and confidence marking
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.