Loading...
Loading...
Found 8,859 Skills
Investigate a failing GitHub Actions run or job and create a GitHub issue for the failure.
Call the vss agent to run video understanding on video to answer a text question. Use when the user asks about video content, or about visual details that cannot be answered from conversation history, search hits, or metadata alone.
Create a pull request in a mitodl GitHub repository using the org's standard PR template. Triggered by /olpr or whenever the user asks to open a pull request in a repo whose remote is under the mitodl GitHub organization. Guides branch inspection, title/body population, and gh pr create invocation.
Fetch and summarize review comments from the active pull request
Monitor PR checks and fix failures until green. Uses gh pr checks as the source of truth for PR-attached checks.
Review a Ralph plan and bd graph for defects via a subagent.
Streamlined plan for in-depth research; used when generating plan.json solely based on request.md to complete research scoping, report format discovery, structure design, dimension decomposition, key questions, search strategy, dependencies, execution sequence, and completion criteria in one go.
Use BEFORE `/seeflow` whenever the user phrases the request as inspection rather than creation — "show me", "show the", "how does X work", "what does X do", "diagram our system", "explain the flow", "where does X live", "what handles Y", "what depends on Z", or names a flow by slug/title without an explicit "create / scaffold / generate / add" verb. Also use when onboarding to a repo that already has seeflow flows registered. Read-only — never mutates flows; auto-hands off to `/seeflow` only when no matching flow is registered.
Reconstruct a reference slide image into an editable PowerPoint using DeckKit, route-aware bbox JSON, optional browser Workbench review, lucide/icon semantic reconstruction, source crops, and image-generation prompts for hard bitmap assets.
ISN integration. Manage Persons, Organizations, Deals, Leads, Projects, Activities and more. Use when the user wants to interact with ISN data.
Persist learnings to memory or maintain existing memories. Triggers on "extract learnings", "save this for next time", "remember this pattern", "consolidate memories", "dream", "clean up memories".
Three modes. Session mode (default): extracts generalizable lessons from RESEARCH.md and git history at session end; lessons that imply a new or significantly changed skill are handed off to skill-creator. Personalize mode: searches the skills registry via `npx skills find`, reads the target skill(s), checks compatibility and scope overlap against installed skills, interviews the user to understand what they want and what to skip, then creates or improves skills using skill-creator. Registry mode: curates `skillpacks/skill_dictionary.yaml` and `skillpacks/presets/*.yaml` by assessing external packs, judging necessity/compatibility, and recommending subsets. Create mode: designs a brand- new skill from scratch using skill-creator. Never edits SKILL.md directly — all changes go through skill-creator's draft→test→iterate loop, human merges. Trigger phrases: "end session", "extract lessons", "personalize my skills", "integrate this skill", "update skillpack", "find a skill for", "create a skill", "improve skill", "refresh the skillpack registry", "assess this skill pack", "update skill_dictionary.yaml", "update index.yaml".