memory-retrieve
Intelligent memory search with automatic method selection. Supports semantic (vector), keyword, and recent queries. Includes fallback strategies and optional summary inclusion.
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Intelligent memory search with automatic method selection. Supports semantic (vector), keyword, and recent queries. Includes fallback strategies and optional summary inclusion.
Store and retrieve memories using the BrAIny REST API. Use this skill to persist facts, notes, and messages about the user or conversation. Automatically stores context when the context window is reaching its l...
Index codebases for semantic code search. Use this skill to make a project's source code searchable via vector similarity, enabling natural language queries like "how does authentication work" or "find the data...
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
Manage stories, plans, and tasks in the multi-model orchestrator. Use this skill to create feature requests, generate implementation plans, and execute tasks using different Claude models (Opus, Sonnet, Haiku).
Index project files for semantic code search. Supports incremental updates, progress tracking, and batch embedding generation.
Compress memories into structured summaries using low-cost AI models (Claude Haiku, GPT-4o-mini). Triggers when memory count exceeds 50 or token estimate exceeds 40000. Outputs structured JSON with compression...
Preserves session context when context window fills. Triggers at configurable thresholds (50%/75%). Captures objective, progress, technical details, decisions, blockers, and next steps.
ALWAYS invoke this skill BEFORE writing or modifying ANY Rust code (.rs files) even for simple Hello World programs. Enforces Microsoft-style Rust development discipline and requires consulting the appropriate...
Use when the user asks to save, export, or record the conversation transcript.
Convenciones y estándares para el desarrollo del motor de reglas en Python
Create, edit, and analyze Word documents with formatting, templates, and content generation (Official Anthropic skill)
Create, edit, and analyze PowerPoint presentations with AI-powered slide generation, template management, and content extraction (Official Anthropic skill)
Parse, analyze, and extract content from PDF documents with OCR, table detection, and text extraction (Official Anthropic skill)
African KYC/AML verification system supporting NIN, BVN, NIMC, passport validation for Nigeria, Cameroon, CEMAC region with real-time compliance scoring
Contract review and regulatory compliance for CEMAC/OHADA business law. Use when analyzing contracts, checking compliance, or answering legal questions about Central African regulations.
Real-time fraud detection using ML pattern analysis, velocity checks, device fingerprinting, behavioral biometrics for African fintech with XAF/NGN transaction monitoring
OHADA-compliant financial intelligence for Central African businesses. Use when handling accounting, invoices, taxes, or financial reports in XAF currency.
Create, edit, and analyze Excel spreadsheets with formulas, charts, pivot tables, and data analysis (Official Anthropic skill)
Documentation for the logistic regression MI estimation experiment (exps_logistic)
Documentation for the main LLM performance experiments (exps_performance)
Encodes ROS 2 best practices for node design, topic naming, publisher/subscriber patterns, and message handling. Used when creating ROS 2 code examples or architectural designs for robotics lessons.
This skill should be used when initializing a new Docusaurus documentation site with TypeScript and custom dark mode theme. Provides basic setup with pnpm, theme installation, and configuration templates for te...
This skill should be used when deploying a Docusaurus site to GitHub Pages. It automates the configuration, building, and deployment process, handling GitHub Pages setup, environment configuration, and CI/CD au...
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.