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when-optimizing-prompts-use-prompt-architect
Comprehensive framework for analyzing, creating, and refining prompts for AI systems using evidence-based techniques
Skills IA Outils
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Explorer
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when-optimizing-agent-learning-use-reasoningbank-intelligence
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement
GitHub
google-image-gen
Generate images using Google's Gemini API. Use this skill when the user wants to generate, create, or edit images with AI. Keywords: image generation, create image, generate picture, AI art, edit image, Gemini,...
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search-memory
Search the hierarchical memory system for relevant memories. Searches across all tiers (working, episodic, semantic) and returns ranked results. Use for context retrieval and pattern matching. Keywords: memory,...
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my-llm-sdk
Use when working with my-llm-sdk
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filter-duplicates
Fast pre-filter to remove articles already processed. Uses Redis for O(1) URL lookup to avoid wasting LLM calls on previously seen content.
GitHub
analyze-article
Use LLM to analyze a raw article. Generates summary, extracts entities, categorizes content, assigns importance score, and detects breaking news.
GitHub
compose-digest
Compose a formatted news digest from processed articles and trends. Uses LLM to generate cohesive narrative summary with embedded citations. Formats for Discord readability.
GitHub
context-compression
Compresses large text into minimal tokens while retaining key facts, entities, themes, and events. Used for reducing context window usage.
GitHub
customer-research
This skill should be used when the user asks to "understand customers", "customer research", "user personas", "customer needs analysis", "buyer journey mapping", "voice of customer", "customer segmentation", "u...
GitHub
r-development
Modern R development practices emphasizing tidyverse patterns (dplyr 1.1 and later, native pipe, join_by, .by grouping), rlang metaprogramming, performance optimization, and package development. Use when Claude...
GitHub
technology-assessment
This skill should be used when the user asks to "assess technology", "technology evaluation", "tech stack analysis", "technical feasibility", "technology trends", "build vs buy", "technology roadmap", "architec...
GitHub
agents-py
Build LiveKit Agent backends in Python. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Python Agents SDK (livekit-agents). Covers AgentSession, Ag...
GitHub
trend-modeling
This skill should be used when the user asks to "model trends with limited data", "three-valued logic analysis", "scenario generation", "transitional graphs", "qualitative trend analysis", "uncertain data analy...
GitHub
mission-solo
HOUSTON executes feature tasks directly. No agents. Best for small features (1-3 tasks).
GitHub
agents-ts
Build LiveKit Agent backends in TypeScript or JavaScript. Use this skill when creating voice AI agents, voice assistants, or any realtime AI application using LiveKit's Node.js Agents SDK (@livekit/agents-js)....
GitHub
d3js-visualization
Professional data visualization creation using D3.js with support for interactive charts, custom visualizations, animations, and responsive design. Use for: (1) Creating custom interactive charts, (2) Building...
GitHub
market-sizing
This skill should be used when the user asks to "calculate market size", "TAM SAM SOM analysis", "estimate market opportunity", "market sizing", "total addressable market", "serviceable market", "market potenti...
GitHub
trend-analysis
This skill should be used when the user asks to "identify trends", "analyze market trends", "trend forecasting", "macro trends", "micro trends", "emerging patterns", "future projections", "industry trends", or...
GitHub
jira-safe
Implement SAFe methodology in Jira. Use when creating Epics, Features, Stories with proper hierarchy, acceptance criteria, and parent-child linking.
GitHub
dialogue-assess-phase
Assess readiness to transition between SDLC phases. Aggregates component assessments and generates PROCEED/PROCEED_WITH_CAUTION/DEFER recommendation. Triggers on "assess phase", "phase readiness", "ready to pro...
GitHub
dialogue-assess-framing
Assess problem framing quality before proceeding with implementation. Captures whether the problem is well-defined per Naur's theory-building principles. Triggers on "assess framing", "check problem framing", "...
GitHub
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes - four-phase framework (root cause investigation, pattern analysis, hypothesis testing, implementation) that ensures u...
GitHub
lore-knowledge
Query project-specific knowledge for conventions, patterns, architecture decisions, gotchas, and domain context. Use when starting a new task, touching unfamiliar code, making architectural decisions, reviewing...
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.