Add checkpoint/resume, durable queues and cron schedules, cancellation, human approval gates, live progress state, subagent fanout, and per-run cost tracking to AI agent workflows…
Tidewave MCP runtime tools — debugging, smoke testing, live state inspection, SQL queries, hex docs. Use when evaluating code in a running Phoenix app.
Invoked by /tidy-code. Reviews source code for structural quality violations (hidden dependencies, god functions, silent failures, deep nesting) across any language.
Use when adding, modifying, optimizing, or debugging CuTile autotuning code. Trigger signals: `exhaustive_search` / `replace_hints` / `hints_fn` / `cuda.tile.tune` in cod — from…
Expert cuTile programming assistant. Write high-performance GPU kernels using cuTile's tile-based programming model with proper validation and optimization.
Iteratively optimize cuTile kernel performance through systematic profiling, bottleneck analysis, IR comparison, and targeted tuning.
Wraps timecop (github.com/travisjeffery/timecop), the Ruby time-mocking gem: Timecop.freeze, Timecop.travel, Timecop.scale (time-speedup), Timecop.return (cleanup), and…
TimescaleDB - PostgreSQL extension for high-performance time-series and event data analytics, hypertables, continuous aggregates, compression, and real-time analytics
Use when writing Python code that calls datetime.now() or datetime.utcnow() and compares the result against a datetime that came from outside the process (HTTP API, database, JWT…
Use when developing application modules or microservices with the tinystruct Java framework. Covers routing, context management, JSON handling with Builder, and CLI/HTTP dual-mode…
Use when the user works with the `tissue` CLI (shikorism.net / Tissue). Triggers on requests to check in, list/search checkins, manage collections or collection items, view tag…
Explain programming language syntax in Korean with concise examples. Use when user asks about syntax like "python list comprehension", "go goroutine", "rust ownership", or any…
Run full 5-layer analysis (AST, call graph, CFG, DFG, slice) on a specific function for deep debugging or understanding.
Use when user requests diagrams, flowcharts, architecture charts, or visualizations. Also use proactively when explaining systems with 3+ components, complex data flows — from…
Generate structured AI agent skills (SKILL.md) and llms.txt from your TypeScript API documentation — from pradeepmouli/to-skills
Documentation conventions for generating high-quality AI agent skills from TypeScript source. Use when preparing a library for skill generation, auditing JSDoc quality, f — from…
TypeDoc plugin that generates AI agent skills (SKILL.md) from TypeScript API documentation Use when working with agent-skills, ai, documentation, llm, skill-md, typedoc — from…
OpenTofu infrastructure-as-code reference for HCL syntax, state management, module design, and provider configuration.
Together AI ci integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together ci integration".
Together AI common errors for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together common errors".
Together AI core workflow a for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together core workflow a".
Together AI core workflow b for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together core workflow b".
Together AI cost tuning for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together cost tuning".
Together AI debug bundle for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together debug bundle".
Together AI deploy integration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together deploy integration".
Run inference with Together AI -- chat completions, streaming, and model selection. Use when testing open-source models, comparing model performance, or learning the Together AI…
Install Together AI SDK and configure API key for inference and fine-tuning. Use when setting up Together AI, configuring the OpenAI-compatible API, or initializing the together…
Together AI local dev loop for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together local dev loop".
Together AI performance tuning for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together performance tuning".
Together AI prod checklist for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together prod checklist".
Together AI rate limits for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together rate limits".
Together AI reference architecture for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API.
Together AI upgrade migration for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together upgrade migration".
Together AI webhooks events for inference, fine-tuning, and model deployment. Use when working with Together AI's OpenAI-compatible API. Trigger: "together webhooks events".
Track, optimize, and control token consumption across multi-agent systems. Covers budget allocation, real-time monitoring, cost attribution, per-agent limits, and proactive cost…
Context window coach. Proactive guidance for token-efficient Claude Code projects, multi-agent systems, and skill architecture.
Audit and eliminate token waste from cognitive architecture memory files -- instructions, prompts, skills, and agents
Reviews tokio async runtime usage for task management, sync primitives, channel patterns, and runtime configuration.
Debugging and troubleshooting Tokio applications using tokio-console, detecting deadlocks, memory leaks, and performance issues. Use when diagnosing async runtime problems.
Game audio generation agent. Produces code (Python/JS/TS/Shell) for SFX, BGM, Voice, Ambient, and UI sounds using ElevenLabs/Stable Audio/MusicGen/Suno/OpenAI TTS/JSFXR.
Use when reasoning about the protocol-level cycle by which a language model uses external tools: the four phases (declaration, request, execution, continuation), the…
Connect any tool you use at work to your agent — including internal company tools, custom-built systems, deployment portals, incident trackers, internal knowledge bases, HR…
Build tools that agents can use effectively, including architectural reduction patterns. Use when creating new tools for agent systems, debugging tool-related failures or — from…
Propagate the last change in the Docker system for project_template to all the projects
Modern SwiftUI toolbar patterns including customizable toolbars, search integration, transition effects, and platform-specific behavior.
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
Flask - Lightweight Python web framework for microservices, REST APIs, and flexible web applications with extensive extension ecosystem
The tooling detection system automatically identifies infrastructure and DevOps tooling usage in projects using multi-signal analysis.
Python audit tooling: ruff (linting), mypy (types), bandit (SAST), pip-audit (CVEs), radon (complexity), vulture (dead code), mutmut (mutations).
ToolJet is an open-source platform for internal tools, dashboards, workflows, and AI-assisted business apps.
Perform comprehensive gene enrichment and pathway analysis using gseapy (ORA and GSEA), PANTHER, STRING, Reactome, and 40+ ToolUniverse tools.
Provide differential diagnosis for patients with suspected rare diseases based on phenotype and genetic data.
Create award-winning, immersive web experiences at the level of Awwwards-featured agencies. Use when the user mentions "premium website", "portfolio site", "scroll animat — from…
Manage todo.txt tasks using topydo CLI. Add, list, complete, prioritize, tag, and organize tasks with dependencies, due dates, recurrence, and projects.
Torchscript Exporter - Auto-activating skill for ML Deployment. Triggers on: torchscript exporter, torchscript exporter Part of the ML Deployment skill category.
Provides expert guidance for navigating, implementing, and verifying V8 Torque (.tq) builtins. Use when modifying or debugging Torque files. Do not use for C++ macro builtins.
Use when the user asks to "create a tortoise model", "new tortoise project", "tortoise orm", "async orm", "aerich migration", "fastapi tortoise", "tortoise model abstract",…
Produce a complete mobile app architecture design — platform choice, navigation structure, state management, data layer, key screens.
Produce a mobile feature spec — user story, technical approach, component breakdown, platform-specific considerations, edge cases.
Mobile reconnaissance — understand the app's tech stack, architecture, dependencies, and health for takeover.