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shami-ah AI Skills

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Explorez les skills IA publiés de shami-ah et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

32

Étoiles des dépôts des skills indexés

0

Forks du dépôt

32

Moyenne des étoiles par skill indexé

0

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

32 skills

Explorer

GitHub

oe-project-orientation

shami-ah

Repo navigation and “where do I start?” guide for OpenEvent-AI. Use when an agent/dev is lost, needs an overview of the project or a subsystem, or needs pointers to the most important docs, entrypoints, scripts...

GitHub

oe-backend-startup-triage

shami-ah

Debug “backend won’t start / first request 500 / ports stuck” quickly. Use when uvicorn reload behaves strangely, ports 8000/3000 are blocked, or you see first-request errors like “unexpected keyword argument”...

GitHub

oe-security-prompt-injection

shami-ah

Maintain and extend prompt-injection defenses. Use when adding new user-input surfaces, changing prompt templates, or when a new injection pattern is observed; run the security regression suite and add a minima...

GitHub

oe-mcp-bootstrap

shami-ah

Setup and verification for MCP tooling used in OpenEvent-AI (filesystem, Context7 docs, LSP/Pyright, Playwright). Use when onboarding a new developer/agent or when Codex/Claude cannot access LSP, browser automa...

GitHub

oe-playwright-e2e

shami-ah

Official Playwright E2E testing protocol. Triggers on "E2E", "Playwright", "browser test". Enforces fresh client state, hybrid mode, and clean ports.

GitHub

oe-keyword-audit

shami-ah

Find and replace dangerous keyword-based detection with LLM signals. Use when debugging detection interference or before touching routing/detection code. Produces a prioritized migration plan.

GitHub

oe-real-e2e-verification

shami-ah

Full E2E verification with REAL APIs (OpenAI + Gemini). Use when stub tests pass but you need to verify real LLM behavior. Requires hybrid mode (I:ope/E:gem/V:ope). NEVER uses AGENT_MODE=stub.

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.