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Found 5,758 Skills
Build or adapt a local browser/CDP harness to drive and inspect a web, IDE, or Electron UI. Use for local UI verification, screenshots, accessibility snapshots, perf profiles, visual diffs, or reproducing UI bugs.
Autonomous NeMo-RL research agent workflow for directed hypothesis testing and open-ended discovery. Guides agents through the full experiment lifecycle: understanding recipes and environments, wiring RL or NeMo-gym runs, launching reproducible baselines and iterations, analyzing results, preserving human oversight, and using git plus TSV logs as the research ledger.
Generates a daily standup post from GitHub activity and agent session history, and posts it to the mitodl/hq Check-ins discussion. Use when asked to write, generate, or post a daily standup — fetches PR, issue, and code-review activity via the gh CLI, queries recent agent sessions, asks clarifying questions about timing and off-GitHub work, renders the standup in the team's standard format, and posts it as a discussion comment with user confirmation.
APImetrics integration. Manage data, records, and automate workflows. Use when the user wants to interact with APImetrics data.
JazzHR integration. Manage data, records, and automate workflows. Use when the user wants to interact with JazzHR data.
Zoho WorkDrive integration. Manage data, records, and automate workflows. Use when the user wants to interact with Zoho WorkDrive data.
BridgePay Network Solutions integration. Manage data, records, and automate workflows. Use when the user wants to interact with BridgePay Network Solutions data.
This skill should be used when the user asks to "create a changelog", "generate a changelog", "update my changelog", "fill in the changelog", "add a changelog", "CHANGELOG is missing entries", "changelog is out of date", "what's missing from my changelog", "changelog from git history", "write changelog", "release notes", or says "my project needs a CHANGELOG".
Wix integration. Manage Stores. Use when the user wants to interact with Wix data.
Runs ML experiments reproducibly — single runs or autonomous BFS batches. Single mode: isolated venv, time-budgeted, failure-handled, logs to RESEARCH.md. BFS mode (opt-in): designs N hypotheses, runs each for a fixed budget, compares via a single verifiable metric, keeps improvements and git-resets failures — fully autonomous until done. Respects the RESEARCH.md supervision policy for notifications, approvals, and stop limits. Trigger phrases: "run experiment", "train model", "explore design space", "find best config", "autoresearch".
Complete launch readiness validation covering every department: code, content, store, marketing, community, infrastructure, legal, and go/no-go sign-offs.
Reply to every PR review comment — from GitHub Copilot, other review bots, and human reviewers — with code fixes or reasoned push-backs. Fetches all comments via the GitHub API, triages each one, fixes code, commits, and posts an inline reply to every comment. Use whenever the user wants to address PR feedback, respond to review comments, handle Copilot's review, clear out reviewer comments, or says 'address the review', 'reply to the comments', 'handle the PR feedback' — even if no specific reviewer is named. Not complete until every comment has a response posted.