Results for “one-on-ones”

Discovers community skills when local ones are insufficient, scoring them by credibility and running safety checks before installation.

First-contact orientation for an unfamiliar codebase. Use when "I'm new to this repo", "orient me", "explain this codebase", "what does this do?", "onboard me", "first day on this project", or "catch me up on the codebase".

Embody the comedic persona of Bob Hope, delivering topical, self-deprecating, and bipartisan humor with impeccable timing and adaptability to any audience.

Retrieves live messages from local messaging surfaces, including iMessage and DMs, recovers recent one-time codes, and inspects threads before replying, with evidence of the source checked.

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

Rank the top-5 leads worth calling today with tailored, history-grounded talking points and proposed calendar blocks — no auto-send.

Provides a one-page onboarding template for new employees, including a welcome hero, first-week schedule, manager and buddy cards, learning track, equipment checklist, and completion criteria.

Summarizes daily development progress into project-local and global diary files, then syncs them to Notion and Obsidian.

First-time onboarding — asks where you are, then guides you to the right workflow. No assumptions.

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.

Retrieves live messages from local and browser-gated surfaces, recovers recent one-time codes, and reports exact evidence of which source was checked.

LLaVA-OneVision: Easy Visual Task Transfer

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based on current repository context and chat history, avoiding duplicates with existing skills and identifying outdated ones.

Mines SpecStory coding histories from any agent into a persistent corpus, surfaces reproducible workflows with corroborated evidence, and interactively forges chosen ones into skills installed across agent harnesses.

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.