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Found 11,800 Skills
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.
Refresh golden values from a GitHub Actions workflow run (failing-only or all jobs), score the change with average normalized relative differences, and produce a PR-ready summary. Use when the user asks to update goldens for a CI run, refresh golden values from a workflow ID, or generate a golden-value diff summary for a PR description.
Unleash integration. Manage data, records, and automate workflows. Use when the user wants to interact with Unleash data.
Structural review of documents for gaps, clarity, completeness, and organization. Use when a brainstorm, plan, spec, ADR, or any doc needs polish before the next workflow step. For exploring new ideas from scratch, use brainstorming instead.
Builds trade area and catchment analysis workflows in CARTO. Triggers when the user mentions trade area, catchment area, isochrone, site selection, where to open, best location, billboard, OOH, audience targeting, drive time, walk time, coverage area, commercial hotspot, site scoring, location ranking, or wants to generate isochrones, score candidate locations, or identify the best sites for retail, advertising, or services.
Appfire integration. Manage data, records, and automate workflows. Use when the user wants to interact with Appfire data.
English alias for /aprende. Runs the same five-pass workflow to surface reusable learnings from the current conversation across memory, lesson, skill, and project-doc categories — with confirmation before any write. Alias en inglés para /aprende.
Resolve `/flag` style requests into the right LaunchDarkly flag lookup flow. Use when the user types `/flag`, asks to quickly find a flag by name/key, wants a direct flag detail summary, or needs fast disambiguation between similar flags.
Author, refresh, or repair the changelog entry for the current branch — derive metadata, write the frontmatter and grouped body, run the deterministic enrichment scripts, and validate against the changelog contract. Use when asked to write or update a changelog entry, refresh an entry after new commits, or as the changelog step inside a ship/PR flow. Detects an existing entry for the branch (idempotent update-vs-create), keeps `created_at` sacred, leaves post-merge fields to the release step, and validates with a zero-dependency Node script.
Use after story and spec synthesis to perform a strict delivery handoff review, identify remaining gaps or contradictions, and score readiness for engineering and cross-functional execution. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
Use when working-backwards discovery is complete and you need to synthesize a PRFAQ, FAQ package, and business requirements document tied to business value, scenarios, and testable acceptance logic. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.
AI SDLC business analysis workflow. Use when an AI assistant needs to frame a feature or change before implementation, derive actors, workflows, business rules, assumptions, acceptance criteria, and richer spec context for requirements and design. Supports `--quick-flow` for fast assumption-driven execution and `--full-flow` for question-driven verified execution. Explicit full or end-to-end spec refinement requests continue through the existing 18-stage refinement cascade.