Implement specs into working output and verify each requirement with evidence.
npx skills add https://github.com/pytholic/claude-skills --skill goal-workflow
Please help me install this Agent Skill. Skill: goal-workflow Source: https://github.com/pytholic/claude-skills/tree/main/goal-workflow Command: npx skills add https://github.com/pytholic/claude-skills --skill goal-workflow
This Skill turns a written spec into a completed implementation, then checks every requirement before reporting back, reducing missed details and unverified changes.
Use the goal-workflow skill to implement the spec in the attached file and verify each requirement.
High-intent search queries and answers about installing and using this skill.
Spec implementation with automated verification works by decomposing a written spec into discrete requirements, guiding the focused implementation to avoid scope creep, and independently validating each item to generate an evidence-based report.
Requirement decomposition breaks a written product spec into discrete, verifiable items. This allows each engineering task to be implemented with focused scope and independently validated through parallel verification against the original requirements.
To generate an evidence-based report, use a workflow that runs parallel verification against each discrete requirement after implementation. It reviews every item independently and summarizes validation evidence into a concise pass/fail audit trail.
Yes, this workflow supports post-change validation for engineering tasks. It parses structured specs, guides focused implementation of the stated scope, and verifies each requirement independently to reduce missed details and unverified changes.
Yes, this workflow supports parallel verification. It reviews each discrete requirement independently after implementation, checks the output against the original spec, and summarizes the validation evidence in a concise reporting format.
The main limitation is that this workflow requires structured spec parsing to function. Without properly decomposed, discrete requirements in the input, it cannot guide focused implementation or produce an accurate evidence-based pass/fail report.
w020316Guide structured questioning to convert vague feature ideas into precise specs.
kaiohenricunhaGenerate evidence-based audit documents with categorized, severity-rated findings.
betaTridentAutomate visual regression testing and UI interaction verification for web applications.
alvazoneCompare spec nodes against codebase implementation to identify drift.
