Skill detail

define-goal

Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.

Why we recommend it: Helps a user turn a fuzzy intention into a concrete, measurable goal with explicit evidence, scope bounds, and stop conditions before starting work.

MatchPossibleRecommended for Learning
Sourceopenai/​skillsExternal source
Reported installsNot reportedPopularity signal only

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SKILL.md

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---
name: define-goal
description: Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.
---

# Define Goal

## Overview

Shape the user's intent into an objective an agent can pursue honestly. Prefer measurable outcomes, explicit evidence, and bounded scope over activity descriptions.

This skill covers goal definition and goal-tool creation only. Do not create intermediate planning artifacts, durable snapshots, ledgers, decision logs, or resume files from this skill.

## Workflow

1. Confirm that goal definition is actually needed.
   - Use this skill when the user asks for `$define-goal`, asks to create or set a goal, asks for the goal tool, or wants help turning an intention into a clear objective.
   - If the user only asks for ordinary implementation work, do the work directly instead of forcing goal creation.

2. Restate the likely goal in concrete terms.
   A usable goal names:
   - the specific outcome that will be true
   - the main artifact, system, repo, environment, or user-facing behavior involved
   - how completion will be verified
   - what is in scope
   - what is out of scope when ambiguity would matter
   - the stop condition for asking the user instead of grinding

3. Make it quantitative when the domain supports it.
   Prefer numbers that represent real success, not decorative precision:
   - pass/fail validators: exact tests, checks, CI jobs, evals, commands, or acceptance criteria
   - quality thresholds: latency, error rate, cost, accuracy, recall, precision, coverage, flake rate, bundle size, memory, uptime, completion rate, or manual review criteria
   - artifact constraints: file paths, affected modules, allowed commands, output formats, target environments, deadlines, or maximum blast radius
   - evidence counts: number of reproduced failures, successful reruns, reviewed examples, migrated records, addressed comments, or verified cases

4. Repair weak goals before setting them.
   - Rewrite vague goals into measurable objectives when local context makes the rewrite safe.
   - Ask one concise clarification question when the missing detail changes the intended outcome or validation.
   - Reject pure activity goals such as "make progress," "keep investigating," "improve things," or "work on X" unless they are sharpened into a verifiable outcome.

5. Check active goal state before creating a goal.
   - Call `get_goal`.
   - If there is no active goal and the objective meets the quality bar, call `create_goal`.
   - If there is an active goal that still matches the user's intent, continue using it instead of creating a duplicate.
   - If there is an active goal that conflicts with the new request, ask whether to finish the current goal, mark it complete if done, or start a separate goal-backed thread.

6. Create the goal only after it passes the quality bar.
   - Use a single concise objective string.
   - Include the verification evidence in the objective itself.
   - Include scope bounds when they constrain the work.
   - Include a token budget only when the user explicitly requested one.
   - Do not call `create_goal` for an ordinary multi-step task unless the user explicitly asked for goal-backed work.

## Goal Quality Bar

Before `create_goal`, the objective should answer:

- What concrete thing will be true when this is done?
- What evidence will prove it?
- What quantitative or binary threshold defines success?
- What scope boundaries matter?
- What should cause the agent to stop and ask?

Good:

> Reduce checkout API p95 latency below 250 ms for the documented slow path by making the smallest safe server-side change, then verify with `npm run test:checkout` and the existing 
Read the full source on GitHub (opens external page)
Context

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