define-goal
Skill2 starsChanged 4 months agoMITView on GitHub
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.
8 other projects use a version of this.
Adopted by
Most recently taken up by
- kushvinth/skillsword for word, first seen Oct 29, 2026
- typeweaver/skillstheir own version, first seen Oct 20, 2026
- davidanthonyn/claude-skillsword for word, first seen Oct 20, 2026
- Tangoal/claude-skillstheir own version, first seen Oct 13, 2026
- wxxb789/hoatheir own version, first seen Sep 24, 2026
- tutti-os/skillsword for word, first seen Jul 9, 2026
Other versions8 projects use a version of this.
Word for word · 5
- openai/skills★ 27k100% same
- davidanthonyn/claude-skills★ 0100% same
- kushvinth/skills★ 0100% same
- tutti-os/skills★ 0100% same
- belentani7/manus-ai-skill-pack★ 0100% same
Edited · 0
None found.
Wrote their own version · 3
- typeweaver/skills★ 2same name
- wxxb789/hoa★ 2same name
- Tangoal/claude-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Show its rules and text
We split this skill into the rules it gives an agent
14 rules. About 0 are common, 10 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈10
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 17
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 …
- Distinctive: line 18
If the user only asks for ordinary implementation work, do the work directly instead of forcing goal creation.
- Distinctive: line 30
Prefer numbers that represent real success, not decorative precision:
- Distinctive: line 38
Ask one concise clarification question when the missing detail changes the intended outcome or validation.
- Distinctive: line 41
Check active goal state before creating a goal.
- Very specific: line 43
If there is no active goal and the objective meets the quality bar, call create_goal.
- Distinctive: line 44
If there is an active goal that still matches the user's intent, continue using it instead of creating a duplicate.
- Distinctive: line 45
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 …
- Distinctive: line 47
Create the goal only after it passes the quality bar.
- Distinctive: line 48
Use a single concise objective string.
- Very specific: line 52
Do not call create_goal for an ordinary multi-step task unless the user explicitly asked for goal-backed work.
- Very specific: line 56
Before create_goal, the objective should answer:
- Distinctive: line 91
Ask only when a reasonable rewrite would risk pursuing the wrong outcome.
- Distinctive: line 99
If the user cannot provide a metric, propose the most honest binary validator available and ask for confirmation.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
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
- 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.
- Use this skill when the user asks for
- 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
- 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
- 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.
- 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.
- Call
- 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_goalfor 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:checkoutand the existing local latency benchmark showing p95 under 250 ms across 3 consecutive runs.
Good:
Resolve the open review comments on PR 123 that request code changes, update only the affected auth files and tests, and verify with the targeted auth test command plus
gh pr view 123showing no unresolved change-request threads.
Weak:
Make checkout faster.
Weak:
Keep investigating the PR comments.
Quantification Heuristics
- For bugs, define success as reproduction first, fix second, and a failing-then-passing validator when possible.
- For tests, name the exact command and required pass condition.
- For performance, name the metric, target threshold, measurement method, and number of runs.
- For quality work, define an observable acceptance bar such as reviewed examples, lint/typecheck/test pass, or user-approved artifact.
- For research, define the decision the research must enable, the sources or systems in scope, and the evidence standard.
- For operations, define healthy state, monitoring window, failure threshold, and rollback or escalation trigger.
Clarifying Questions
Ask only when a reasonable rewrite would risk pursuing the wrong outcome. Keep the question short and oriented around the missing validator or scope boundary.
Useful question shapes:
- "What metric should define success here: latency, cost, accuracy, or user-visible behavior?"
- "Which environment should I verify against: local, staging, or production?"
- "What is the minimum evidence you want before I mark this goal complete?"
If the user cannot provide a metric, propose the most honest binary validator available and ask for confirmation.
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