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Turn vague requests into evidence-backed goal completion contracts for execution.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "goal-setter-skill" yet — see the docs or source repo.
Turn this request into a /goal completion contract: 'Help me improve the login flow and reduce failure rate.' Include objectives, constraints, acceptance criteria, evidence needed, risks, and next actions.
A structured goal contract with success criteria, required evidence, constraints, and action steps.
Create a goal contract for this idea: 'We want to know whether users truly need an export report feature.' Include hypotheses, validation methods, evidence sources, definition of done, and decision thresholds.
A product discovery goal spec that helps the team decide based on evidence, not intuition.
Convert this research request into a completion contract: 'Look into how competitors are doing with AI search.' Specify scope, deliverable format, evidence standards, time boundaries, and exclusions.
A clear research contract defining what to investigate, how to validate it, and what counts as done.
Turn vague intentions into concrete, measurable goals and clear success criteria.
Create, refine, validate, and restructure AgentSkills and SKILL.md files.
Create, refine, and troubleshoot AI skills, specs, invocation, and compatibility.
Generate test scenarios and measure how well agents follow skills and rules.
Turn vague requests into structured expert prompts for better LLM outputs.
Create or refine AI skills with scope, workflows, and tool integrations.