Skill UI

This skill provides comprehensive financial oversight for internal R&D programs and portfolios. It facilitates multi-period budget planning, applying indirect F&A rates, and tracks critical metrics like burn rate and runway against value-inflection milestones. It also supports the capitalization vs. expense determination process based on established accounting standards (IAS 38/ASC 730). Crucially, the tool only provides decision support and never books entries or determines final accounting treatment.

Polis Protocol transforms static AI agent workflows into a self-improving, dynamic team environment. It uses a learning router to assign tasks based on an agent's historical track record and effectiveness on specific domains, rather than fixed roles. It is vendor-agnostic, allowing diverse agents (e.g., Claude, Gemini) to collaborate under a unified, auditable governance structure where agents can propose and vote on amending the protocol's core rules.

This tool provides an end-to-end workflow for managing massive codebase migrations, framework upgrades, and structural refactors across hundreds of files. It uses a specialized CLI to orchestrate issue tracking, create reviewable PR batches, and verify CI status, ensuring complex changes are implemented safely and incrementally.

This tool empowers users to query, filter, and aggregate logs from Datadog directly from the command line using the Composio CLI. It bypasses the graphical UI, providing structured JSON output for complex analysis, cross-service correlation, and automated reporting. Ideal for deep dive investigations, tracking latency regressions, or building scheduled operational digests.

This meta-skill is designed for generating comprehensive competitive intelligence briefs for sales, business development, and strategy teams. It monitors signals across various dimensions (pricing, product, leadership, funding, etc.) for specified competitors or targets over a defined time window. It helps track changes against a baseline and provides actionable recommendations, moving beyond simple raw data dumps.

Automates the daily triage of GitHub Pull Requests, CI/CD failures, and new issues. It uses the GitHub API to pull relevant information, summarizes the findings into actionable buckets (e.g., needing review, awaiting action, CI failed), and persists follow-up notes to long-term memory for context retention. Ideal for keeping track of complex development workflows.

This meta-skill orchestrates complex, multi-step job search workflows, moving beyond simple advice. It is designed for concrete tasks such as tailoring resumes to specific job descriptions (JDs), building complete application packs, preparing for named interviews, comparing multiple job roles, or maintaining an organized application tracker. It focuses on producing reviewable artifacts and never performs automatic applications.

This meta-skill orchestrates a multi-step process to transform complex research questions, data, or deep reports into a structured, source-backed presentation deck (PPTX). It automatically handles searching, source curation, synthesizing an executive storyline, and generating a professional slide outline and talk track, making it ideal for competitive analysis, leadership briefings, or academic presentations.

This skill allows users to generate complete songs, including vocals or pure instrumental tracks, using advanced AI APIs. By providing a structured JSON specification, you can define the desired style, mood, scene, and optional lyrics. Ideal for creating background music, theme songs, jingles, or full compositions for creative projects.

This skill automates the transformation of high-level product specifications (PRDs) or feature specs stored in Notion into an actionable development lifecycle. It systematically parses requirements, generates structured implementation plans, breaks down complex needs into manageable, linked tasks, and facilitates continuous progress tracking, ensuring all development artifacts remain synchronized with the original spec.

This tool automates the diagnosis of production errors tracked by Sentry. By leveraging the Composio CLI, it retrieves comprehensive issue details, full stack traces, breadcrumbs, and associated commits. It maps stack frames to local source code, allowing agents to propose fixes and triage issues directly, eliminating manual copy-pasting.

This utility uses ffmpeg's libass filter to permanently burn an SRT subtitle file into an MP4 video stream. It handles video re-encoding (H.264) while copying the audio track directly, ensuring high quality. Supports customization of font name, size, margin, and video encoding parameters (CRF, preset), making it essential for the final subtitling step in video content pipelines.