Semantic Sequential Thinking Layer For Agentic Tools
npx skills add OCWorkforces/TraceLatticeSemantic Sequential Thinking Layer For Agentic Tools
Source: https://github.com/OCWorkforces/TraceLattice
Discovered from GitHub repositories pushed in the last 24 hours for agent skills, Claude/Codex/Gemini workflows, MCP tooling, and adjacent AI-agent automation.
Customize cmux for an end user. Use when changing cmux.json actions, custom commands, workspace layouts, plus-button behavior, surface tab bar buttons, Command Palette entries, Dock controls, sidebar and app settings, shortcuts, notifications, browser routing, examples-library presets, or Ghostty-backed terminal preferences.
Use when reading or writing Python files (.py, pyproject.toml, requirements.txt).
This skill should be used whenever users ask food-related questions, meal suggestions, nutrition advice, recipe recommendations, or dietary planning. On first use, the skill collects comprehensive user preferences (allergies, dietary restrictions, goals, likes/dislikes) and stores them in a persistent database. All subsequent food-related responses are personalized based on these stored preferences.
Static release-readiness gate for AI agent tool surfaces. CLI + GitHub Action. Scans MCP, OpenAPI, OpenAI Agents SDK, Anthropic, Google ADK, LangChain, CrewAI. Apache-2.0.
Batch convert documents between multiple formats using a unified pipeline
Recently updated AI agent skill repository: yanziyang/learn-Microsoft-Agent-Framework