Results for “exist”

Compact the current conversation into a handoff document for another agent to pick up, including suggested skills and references to existing artifacts.

Drafts, sends, and preserves email correspondence for existing ClawHub content rights cases using authenticated admin CLI commands.

Create new skills, modify and improve existing skills, and measure skill performance through iterative evaluation and benchmarking.

Search existing local, marketplace, GitHub, and web skill sources before creating a new skill. Use when the user wants to create, build, fork, or find a skill for a workflow.

Compacts the current conversation into a handoff document for another agent to pick up, referencing existing artifacts by path or URL instead of duplicating them.

Searches local, marketplace, GitHub, and web sources for existing skills before creating a new one to avoid duplication.

Refines an existing skill in place with minimal diffs, using evidence from usage and session mining to improve triggers, workflow, metadata, and resources.

Use when users do not know which skill fits a task, need to search available skill catalogs, compare candidates, install a matching skill, or route work to the best existing capability.

Searches local, marketplace, GitHub, and web sources for existing skills before creating a new one, and vets external matches for safety.

Imports external plan files into a GSD-structured project, detecting conflicts against existing roadmap, requirements, and locked decisions before writing a validated PLAN.md.

Guides users through structured discovery to create a shared knowledge repository capturing company or team distinctiveness, with options to link or extend existing repositories.

Checks project progress, summarizes recent work and what's ahead, then routes to the next action by executing an existing plan or creating a new one.

Creates and maintains concise AGENTS.md and CLAUDE.md project instruction files for AI coding agents, keeping them under 60 lines and referencing existing documentation.

Analyze a project's past sessions, memory files, and existing local skills to recommend the highest-value skills to create or update.

Searches local, marketplace, GitHub, and web sources for existing skills before creating a new one, then ranks and vets candidates to avoid duplication.

Sorts an email inbox into reply-now, reply-later, and ignore buckets, and drafts replies for urgent messages using an existing Gmail connector.

Reduce an oversized SKILL.md by checking whether an existing skill already covers the excess sub-workflow before creating a new child skill only when none fits. Load when a skill exceeds 200 lines and compress-skill determines excess content is genuinely CORE, when the same sub-workflow appears in multiple skills, or when universal-skill-creator or improve-skills identifies a coherent sub-capability. Also triggers on "split this skill", "extract a sub-skill", "this skill is doing too much", or "make this skill reusable". Always checks for an existing home before creating a new skill.

Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills and identifying outdated ones.

Facilitates a read-only standup across git worktrees, branches, or PRs to compare changes and produce one consolidation plan.

Orchestrates multi-agent project builds with persistent state, parallel execution, and atomic git commits.

Grow the m/uwu community by posting in UwU voice and submitting proof links to a queen hub, with installation and identity-persistence instructions.

Implement bounded remaining work for an issue-driven repository change after an authoritative verifier reports concrete gaps. Use when a workflow supplies an issue brief or assessment plus materialized gate-result and remaining-work evidence, and the existing candidate must be corrected without creating a MoonSpec feature packet.

Embody the collective voice and methodology of the Russian feminist punk protest group Pussy Riot, using spectacular transgression, collective identity, and punk politics to challenge authoritarian power.

Tighten annotations in existing Python code with a focused, low-churn workflow based on Honnibal's tighten-types skill. Use to improve changed files, remove avoidable Any, make container and return types precise, or reduce type-checker errors without broad refactoring.

Builds detailed voice profiles for characters, narrators, brands, or AI agents, covering diction, syntax, rhythm, worldview, signature patterns, and failure modes, and can reverse-engineer profiles from writing samples or audit existing ones.

Write structured notes into the local Obsidian vault at /Users/tangchunwu/Documents/Obsidian Vault. Use when the user asks to save content to Obsidian, archive a note into the vault, create a review/summary/todo note, or organize an existing draft into Obsidian folders with frontmatter.

Packages an existing talking-head, interview, or podcast video with timed, designed graphic overlay cards—kinetic titles, lower-thirds, data callouts, quotes, side panels, picture-in-picture—synced to the transcript, on a 16:9, 9:16, or 4:5 canvas.

Parses complex problems into DAG (Directed Acyclic Graph) execution structures. Decomposes tasks into nodes with dependencies, identifies parallelization opportunities, and creates optimal execution plans. Activate on 'build dag', 'create workflow graph', 'decompose task', 'execution graph', 'task graph'. NOT for simple linear tasks or when an existing DAG structure is provided.

Finishes an existing Japanese business talking-head, lecture, interview, or testimonial rough cut into a credibility-first vertical social video, preserving the speaker's meaning while tightening repeated ideas, adding a first-second thesis, readable full captions, restrained punch-ins, speaker identification, a.

Logs the outcome of a skill execution to observations/<skill-name>/runs.md. Trigger on: "log this run", "skill worked", "skill failed", "this didn't work", "log the outcome", "record this", "note that", or after any skill completes with a clear success, partial, or failure outcome. Creates the observations file if it does not exist, then appends an entry with date, task description, skill used, outcome, what worked, what failed, and any error messages observed.