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troykelly AI Skills

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Explorez les skills IA publiés de troykelly et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

128

Étoiles des dépôts des skills indexés

640

Forks du dépôt

61

Moyenne des étoiles par skill indexé

5

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

128 skills

Explorer

GitHub

sentry-setup-ai-monitoring

troykelly

Setup Sentry AI Agent Monitoring in any project. Use this when asked to add AI monitoring, track LLM calls, monitor AI agents, or instrument OpenAI/Anthropic/Vercel AI/LangChain/Google GenAI. Automatically dete...

GitHub

autonomous-orchestration

troykelly

Use when user requests autonomous operation across multiple issues. Orchestrates parallel workers, monitors progress, handles SLEEP/WAKE cycles, and works until scope is complete without user intervention.

GitHub

skill-development

troykelly

Use when the user wants to create or refine Codex skills, improve skill descriptions, organize skill resources, or follow Codex skill best practices.

GitHub

strict-typing

troykelly

Use when writing code in typed languages - enforces full typing with no any/unknown/untyped escapes, even if it requires extra time

GitHub

worker-handover

troykelly

Defines context handover format when workers hit turn limit. Posts structured handover to GitHub issue comments enabling replacement workers to continue seamlessly.

GitHub

project-board-enforcement

troykelly

MANDATORY for all work - the project board is THE source of truth. This skill provides verification functions and gates that other skills MUST call. No work proceeds without project board compliance.

GitHub

issue-prerequisite

troykelly

Use before starting ANY work - hard gate ensuring a GitHub issue exists, creating one if needed through user questioning

GitHub

inline-documentation

troykelly

Use when writing code - ensure complete JSDoc, docstrings, and inline comments assuming documentation will be generated from code

GitHub

deferred-finding

troykelly

Use when a review finding cannot be fixed in current PR - creates properly documented tracking issue with full context, linked to parent, following full issue-driven-development process

GitHub

code-explorer

troykelly

Use when asked to trace existing codepaths or explicitly asked to run the code-explorer subagent.

GitHub

frontend-design

troykelly

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoid...

GitHub

code-reviewer

troykelly

Use when explicitly asked to run the code-reviewer subagent or when another skill requires the code-reviewer agent card.

GitHub

epic-management

troykelly

Use for LARGE work requiring feature-level grouping. Creates epic tracking issues, manages related issues under a common label, tracks epic progress, and coordinates with milestones.

GitHub

ci-monitoring

troykelly

Use after creating PR - monitor CI pipeline, resolve failures cyclically until green or issue is identified as unresolvable

GitHub

session-start

troykelly

Use at the beginning of every work session - establishes context by checking GitHub project state, reading memory, verifying environment, and orienting before starting work

GitHub

branch-discipline

troykelly

Use before any code changes - hard gate ensuring work never happens on main branch, with proper feature branch creation from correct base

GitHub

memory-integration

troykelly

Use to maintain context across sessions - integrates episodic-memory for conversation recall and mcp__memory knowledge graph for persistent facts

GitHub

comment-analyzer

troykelly

Use when asked to review code comments for accuracy/quality or explicitly asked to run the comment-analyzer subagent.

GitHub

issue-decomposition

troykelly

Use when an issue is too large for a single task - breaks into linked sub-issues with full documentation, ensuring manageable work units

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.