Results for “aspiration-workshop”

Provides a canonical facilitation protocol for interactive skills: one step at a time with progress tracking, adaptive recommendations, and interruption handling.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than relying on arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.

Generate one best-next-step proposal after a successful task run, either the next phase in a series or a high-value improvement.

Coordinates a goal lifecycle: define, decompose, activate, track, and execute goals using a set of system skills that write markdown files.

Guided onboarding for OpenSpec - walk through a complete workflow cycle with narration and real codebase work.

Generate one high-value follow-up workflow proposal when MoonMind execution quality issues are detected in a run.

Strategic planning with optional interview workflow

Builds a configurable scraping agent that collects data from APIs, HTML, or RSS, enriches it with Gemini AI scoring, and stores results in Notion, Google Sheets, Supabase, or local files.