Semantic memory for AI agents: capture the tacit engineering knowledge that survives turnover, and recall it through MCP. Built in Rust on Postgres and pgvector.
npx add-skill tribal-memory/tribalSemantic memory for AI agents: capture the tacit engineering knowledge that survives turnover, and recall it through MCP. Built in Rust on Postgres and pgvector.
Source: https://github.com/tribal-memory/tribal
Discovered during the daily awesomeskills.dev agent-skill hunt.
Skill para Claude Code: audita VSL/LP + funil de upsell/downsell no Pagamerican sem precisar assistir o video. Extrai precos, gera relatorio MD com flags de erros.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
Self-hosted deployment platform. Give it code, get a live HTTPS URL. Supports Node.js, Python, Go, and static sites. Every deployment runs sandboxed in gVisor. Three static Go binaries, zero runtime dependencies.
OpenCode plugin that automatically downloads and keeps Skills up to date
Vendor-neutral iXBRL (Inline XBRL) skill for AI agents — primary-source-validated reference material, scaffold templates, and Arelle validation scripts for SEC EDGAR / ESMA ESEF / UK FRC / Dutch SBR / EBA / EIOPA / IFRS / US-GAAP / EDINET / MCA filings.
Snowey is a self-improving autonomous AI agent written in Python 3.11+. It has a persistent memory system, a skill system, a multi-backend shell tool, a messaging gateway, and a cron scheduler. The core loop is `THINK → PLAN → ACT → OBSERVE → REFLECT → PERSIST`.