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…
Optimize the description prompts an AI agent reads to learn its built-in tools (the `.md` files under prompts/tools/).
Design LLM tools with descriptions that steer, granularity that composes, and error returns the model can act on.
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…
Top-down mobile game architecture — virtual joystick/tap-to-move/twin-stick touch movement, room transitions, fog of war, spawner patterns, wave systems, minimap.
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.
Use when asked about mobile UI guidelines, touch targets, platform-specific UI rules, or mobile interaction patterns.
Control a running TouchDesigner instance via twozero MCP — create operators, set parameters, wire connections, execute Python, build real-time visuals. 36 native tools.
Use for cognitive task analysis, CTA method selection, knowledge capture, tacit expertise routing, and representation design by matching elicitation methods to knowledge type.
Use when working on tpcp code that uses n_jobs, joblib parallelism, tpcp.parallel, caching in parallel workers, or when debugging multiprocessing, serialization, or global state…
Instrument agent sessions so operators can replay runs, track model costs, inspect tool calls, and compare behavior across frameworks.
Instrument LLM and agent applications with MLflow tracing, evaluation, prompt tracking, and monitoring so operators can debug behavior before and after deployment.
Instrument Python or TypeScript agent applications with OpenTelemetry traces, metrics, and evaluation views for debugging production LLM workflows.
Applies systematic tracing and isolation techniques to pinpoint exactly where a bug originates in code.
Debug a codegen issue by tracing from wrong Python output back through the graph to the root cause. Identifies whether the bug is in primitive definitions, type resolution, or…
Use when investigating a specific trace_id — following a single request across services to understand where it failed, hung, or behaved unexpectedly.
Safe refactoring workflow using trace-mcp — assess risk, find candidates, check impact, and rename symbols across all files without missing import sites or cross-file references.
Lets an agent record Python allocation traces and inspect the biggest allocators, retained objects, and leak paths before memory growth turns into a production incident.
Trace function call hierarchies, dependencies, side effects, and symbol relationships using LCI. 以LCI追蹤函數調用層次、依賴、副作用、符號關係。 Use when: understanding function before modifying,…
Trace existing execution paths before changing unfamiliar behavior. Use when editing unknown code, debugging, reviewing AI-generated changes, or when a plan depends on current…
Use when working with Tracearr media-server monitoring for Plex, Jellyfin, or Emby, including real-time sessions, stream analytics, account-sharing detection, trust scores,…
Turn any codebase into evidence-grounded Markdown docs plus a machine-readable index.json. Every claim cites its source; never invents deployment steps.
Use when facing technical uncertainty, unproven architecture, or building a large feature where agents or humans risk getting lost in details before confirming the architecture…
Use TokenTracker to auto-collect local token, cost, and rate-limit telemetry across Claude Code, Codex, Cursor, Gemini, OpenCode, OpenClaw, and other AI coding tools.
Track and manage regression test suites across releases. Use when performing specialized testing. Trigger with phrases like "track regressions", "manage regression suite", or…
Evaluate 2–4 architectural options against quality attributes using a weighted decision matrix, quality attribute scenarios, and sensitivity analysis.
Traduce textos del español al inglés manteniendo estrictamente el contenido, las ideas y la estructura original sin realizar modificaciones.
Traefik cloud-native ingress router with automatic TLS, dynamic configuration, middleware chains, and Kubernetes IngressRoute CRDs. Sources: traefik/traefik (MIT).
Trafilatura is a Python package and CLI tool for gathering text from the web. It handles crawling, downloading, and extracting main text content, metadata, and comments from raw…
Train focal and subsidiary attention switching for diagnosis, debugging, design review, and other judgment-heavy work.
Train a character/identity LoRA locally on FLUX.1-dev via the comfyui-mcp train_* tools (GPU Docker + ostris ai-toolkit).
Split data before looking at it, respect time and groups, and quarantine the test set so scores mean something.
Use when after applying a configuration fix (e.g., adding an instrument type to an allowlist, updating filtering thresholds) to a dataset preprocessing pipeline, you need to…
Train Test Splitter - Auto-activating skill for ML Training. Triggers on: train test splitter, train test splitter Part of the ML Training skill category.
Diagnose NaN losses, out-of-memory errors, and shape mismatches in deep learning or ML pipelines.
Use when after labeling a representative subset of peaks (typically 10–20 pooled samples with corresponding feature tables) and before neural network training, when you need to…
Fehleranalyse in Pipeline- und Steuerdatei-Abläufen: prüfen, ob eine Konvention oder ein Verfahren für ein LLM überhaupt sichtbar und auffindbar ist.
Use when reasoning about the I in ACID — the isolation level a database provides between concurrent transactions: the five SQL-standard levels (read uncommitted, read committed,…
Wrap multi-write operations in transactions; use dispatchAfterCommit and idempotency patterns to ensure consistency
Use when implementing attention mechanisms, building custom transformer models, understanding positional encoding, or optimizing transformer inference - covers self-attention,…
Use when when building a neural network to map between mass spectrometry spectra and molecular properties (e.g., fingerprints, SMILES, or fragment ions) where sequential or…
Use when you have acquired or generated multi-modal spectroscopic data (integrated NMR, HSQC, COSY, IR spectra) in the model's expected input format, a pre-trained…
Use when when processing sequential spectroscopic data (1H NMR spectra) where both local chemical shift patterns and global spectral dependencies are needed for compound…
Use when you have paired tandem MS spectra and either (1) molecular fingerprints