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Augments Trailmark code graphs with external audit findings from SARIF static analysis results and weAudit annotation files. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, cross-refe

The feature or component to distill (optional)

Multi-engine text-to-speech skill. Supports Qwen3-TTS local voice cloning, VoiceCraft online TTS, and OpenAI TTS.

Folks HR integration via Apideck's HRIS unified API — same methods work across every connector in HRIS, switch by changing `serviceId`. Use when the user wants to read or sync employees, departments, payrolls, and time-off records in Folks HR. Routes through Apideck with serviceId "folks-hr".

Task playbook for fetching a month-end financial snapshot via the Apideck MCP server's `apideck-month-end-close-check` workflow tool. Use when the user asks for a P&L, balance sheet, aged creditors, or aged debtors view at a point in time. Read-only, idempotent, returns partial snapshots when some reports aren't supported by the connector.

Generate and edit images with Alibaba Qwen-Image-2.0 models via inference.sh CLI. Models: Qwen-Image-2.0 (fast), Qwen-Image-2.0-Pro (professional text rendering). Capabilities: text-to-image, multi-image editing, complex text rendering. Triggers: qwen image, qwen-image, alibaba image, dashscope image, qwen image 2, qwen image pro

Guia para a criação de ferramentas eficazes para agentes de IA. Utilize ao construir ferramentas MCP, APIs de agente ou qualquer interface de ferramenta que os agentes irão consumir, focando na eficiência de tokens, contexto significativo e uso adequado de namespaces.

Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure

Manage information from Wechat and Send Messages, Only could be activated with the MCP Server `WeChatMCP`. Check it before using any tools in this MCP server

Design judgment via design-director taste — reads design intent, assesses whether execution serves it, returns opinionated verdict with clear direction. Scales from one element to a whole app. Always judgment, never fixing. Invoke ONLY via /eye — do NOT trigger on 'review the design' or 'how does it look'.

Extracts, filters, annotates, and exports differential expression results from DESeq2 or edgeR with proper handling of padj=NA (independent filtering, Cook's outliers, all-zero), multiple-testing correction choice (BH vs Storey q-value vs IHW vs lfsr), TREAT vs post-hoc fold-change filtering, p-value histogram diagnostics, gene annotation via org.db/biomaRt/mygene, GSEA preranked input, ORA backgr

Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.