Debug and A/B-test the podcast content pipeline (pipelines/services/podcast) offline — run one stored episode through the real extractor→writer→markdown pipeline with any OpenRouter model, score JSON reliability / Traditional-Chinese fidelity / ticker+tag linking / chapter consolidation, find genuinely-failed…
Use when an agent is participating in a UNITARES dialectic session — paused and needs to submit a thesis, reviewing another agent's thesis, or synthesizing conditions for resolution. Covers structured argumentation and convergence.
Use when an agent needs to understand UNITARES governance concepts — EISV state vectors, basins, policy actions, coherence, calibration. Reference material for interpreting governance metrics as proprioceptive state estimation, not outcome judgment.
Use when adding, editing, or reviewing sections on the unitares dashboard (dashboard/redesign/). Captures the redesign's conventions: the section-module pattern (window.X = { load }), the live-or-snapshot data seam, theme-aware charts via design tokens, and the app.html wiring (nav / pane / lazyLoad / RELOAD /…
Creates Python converter code to transform laboratory instrument data into Allotrope Simple Model (ASM) JSON format. Use when a user asks to convert instrument data to ASM, generate an ASM data instance, write a plate reader converter, map instrument CSV to Allotrope, or validate ASM output. Requires the…
A code-writing aid for TDengine, a time-series database that stores timestamped data such as sensor readings. It creates Python forecasting models and data-preparation pipelines that follow the TDgpt format.
Reads live weather for any place on earth, including radar rendered as text characters instead of an image: current conditions, a short forecast, a 2-hour rain sparkline, and a character radar map with the measured motion of the echo. Use when the user asks about weather, temperature or a forecast somewhere, whether…
Format Python source files with Black and isort, then report any remaining lint issues. Use when the user asks to format, clean up, tidy, or fix the style of Python code.
CLI for debugging running Python processes with non-blocking inspection via debugpy (Debug Adapter Protocol). Use when the user needs to attach to a Python process (already-listening debugpy, PID injection, process name, or Docker), set tracepoints/logpoints/exceptionpoints, capture call stacks and local variables…
Use when working with Tigris from Python — boto3 setup, Django uploads via django-storages, snapshots, bucket forking, in-place object rename, conditional writes (IfMatch/IfNoneMatch), and the Bundle API for batch ML data fetches. Covers the tigris-boto3-ext extension library (context managers, decorators, helpers)…
Comprehensive MCP server development guide covering FastMCP 2.14.3 features, Anthropic standards, ecosystem integration, and production deployment across all agentic IDEs.
This skill provides the operational logic and safe-mode patterns for managing Windows systems at an industrial grade. It prioritizes system integrity via "Safe Mode" registry operations and "Lean SOTA" data manipulation.
Comprehensive MCP server development guide covering FastMCP 2.14.3 features, Anthropic standards, ecosystem integration, and production deployment across all agentic IDEs.
Comprehensive code review with security, performance, and style analysis for Python, TypeScript, and Go. Detects OWASP Top 10 vulnerabilities, N+1 queries, race conditions, and logic errors before they reach production.
Generates comprehensive, structured PR descriptions from git diff or branch comparison. Includes summary, changelog, testing notes, and deployment considerations.
A troubleshooting guide for restoring the connection between browsertap-mcp and a real Chrome or Edge browser. It covers the browser bridge and its connection checks.
A browser-automation skill that connects to an already running, logged-in Chrome or Edge browser. It provides fixed procedures for reading pages, interacting with forms, downloading files, and handling browser sessions.
Use A2CR MCP for WorkBaton checkpoints, WorkStash temporary work memory, and WorkThreads shared work coordination across AI windows, AI clients, and agents. Trigger when saving, stashing, resuming, loading, or coordinating AI work context through A2CR.
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originalApache-2.0
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: