Agent skill · operations · aiskillstore
goal-tracker
Track goal progress, derive state from execution, identify gaps, trigger actions. Use for goal status checks, progress reviews, and operational goal management.
Why this skill is useful
Provides domain-specific knowledge for goal tracking and operational management that the AI wouldn't reliably generate on its own.
What it needs
About 5k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Goal Tracker Derive goal state from execution, track progress, identify gaps, trigger actions. Operating Model Goals are the primary operating mode for LeanOS. Tracker maintains goal state. Goal-tracker reads: Goal files (objectives, plans, success criteria) Threads (execution state, Stage 6 learning) Artifacts (deliverable verification) Goal-tracker writes: Goal state section (metrics, trajectory, logs) Recommendations (gap-closing actions) Type Signature When to Use Daily/periodic goal review After thread completion (update linked goal) User asks "How am I doing on {goal}?" Proactive gap detection Before planning sessions Core Operations 1. State Derivation State is computed, not manually tracked. Derive from execution: 2. Subgoal Status Update 3. Milestone Check 4. Trajectory Projection 5. Gap Analysis 6. Action Generation Based on gaps and autonomy mode: Action types: Gap Type Recommended Action ---------- ------------------- Pipeline gap Create outbound campaign thread Conversion gap Create optimization thread Content gap Create content thread Technical gap Create engineering thread Knowledge gap Create learning thread Output Updated Goal File Update strategy/goals/active/{goal-id}.md: Progress Report (when requested) Workflows Snapshot (On-Demand) No daily file generated. Snapshot is computed on-demand, not stored. Goals themselves are the persistent state - snapshot is a derived view. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/goal-tracker