Pesquisa e Web
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agent-browser
Browser automation for AI agents via inference.sh. Navigate web pages, interact with elements using @e refs, take screenshots, record video. Capabilities: web scraping, form filling, clicking, typing, drag-drop, file upload, JavaScript execution. Use for: web automation, data extraction, testing, agent browsing, research. Triggers: browser, web automation, scrape, navigate, click, fill form, scree
bio-atac-seq-atac-peak-calling
Call accessible chromatin regions from ATAC-seq BAM files using MACS3, MACS2, Genrich, or HMMRATAC. Use when identifying open chromatin from aligned ATAC-seq, choosing between point-source vs HMM peak callers, applying ENCODE-style pseudoreplicate IDR, removing blacklist regions, or fixing 501bp consensus peaks for downstream differential analysis.
invoice-organizer
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
large-report-editor
Edits and compiles very large Markdown research reports using surgical patches, structure JSON, and legal‑grade citation rules.
perplexity-search
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model's knowledge cutoff. Provides access to multiple Perplexity models including Sonar
azure-mgmt-arizeaiobservabilityeval-dotnet
SDK do Azure Resource Manager para Observabilidade e Avaliação Arize AI (.NET). Use-o para gerenciar organizações Arize AI no Azure, criar/atualizar/excluir recursos Arize ou integrar a observabilidade de ML da Arize em aplicativos .NET.
npm-helper
NPM and Node.js package management, project configuration, and dependency troubleshooting.
structure-judgment
Front-end structural routing for mixed, ambiguous, high-noise inputs. Analyzes user inputs to determine the primary structural layer and routes to the appropriate handling layer before answering.
env-config
Environment configuration and secrets management skill using UV for Python projects. Handles .env files, environment variables, secrets encryption, multi-environment setups, and secure configuration patterns. Use when setting up project environments, managing API keys, or implementing configuration best practices.
ace-step
Generate, inpaint, and outpaint music with ACE Step on RunComfy via the `runcomfy` CLI. ACE Step is StepFun-AI's open-weights music foundation model — tag-driven composition (genre, mood, instruments), multilingual lyrics with section markers, 5 s to 4 min stereo output, $0.0002–0.0003 per second (≈ 27× cheaper than ElevenLabs Music). Four endpoints: ACE Step text-to-audio (the default), ACE Step
python-venv-manager
Python virtual environment management, dependency handling, and project setup automation.
deep-research
Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with