Context Engineering for Coding Agents
2026년 AI 워크플로를 위한 실전 콘텐츠: Package the right files, constraints, architecture notes, and acceptance checks before asking a coding agent to edit a repo.
skills.sh 생태계의 재사용 가능한 Agent Skill입니다. clarify from pbakaus/impeccable: Identify and improve unclear interface text to make products easier to understand and use.
clarify is a reusable agent skill listed on skills.sh under pbakaus/impeccable. skills.sh rank #129, installs 81.6K, GitHub stars 29.9K, first seen Mar 4, 2026.
Identify and improve unclear interface text to make products easier to understand and use. Assesses copy across error messages, form labels, buttons, help text, empty states, success messages, and confirmation dialogs to find jargon, ambiguity, passive voice, and missing context Requires frontend-design skill context and audience analysis before proceeding; gathers technical level and user mental state to inform improvements Applies core principles: be specific, concise, active, human, and helpful; prioritizes actionable guidance over vague explanations Verifies improvements against comprehension, actionability, brevity, consistency, and tone fit for the situation
SKILL.md and only load extra files referenced by that skill.npx skills add https://github.com/pbakaus/impeccable --skill clarifyIs clarify an agent, a prompt, or a skill?
It is a skill: a reusable package of task-specific instructions and supporting files that an agent can load when the user's request matches the workflow.
Should I install it automatically?
Only after checking the repository, install command, audit status, and whether the user wants this capability in the current agent environment.
What makes it useful for AIDreamHub users?
It helps users discover practical agent capabilities from the open skills ecosystem and compare them by task, source, install count, and operational risk.
npx skills add https://github.com/pbakaus/impeccable --skill clarifynpx skills add https://github.com/pbakaus/impeccable --skill clarify2026년 AI 워크플로를 위한 실전 콘텐츠: Package the right files, constraints, architecture notes, and acceptance checks before asking a coding agent to edit a repo.
2026년 AI 워크플로를 위한 실전 콘텐츠: Manage prompts like production code with versions, eval sets, release notes, and rollback criteria.
2026년 AI 워크플로를 위한 실전 콘텐츠: Design agent workflows that use MCP tools safely, with permissions, secrets, audit logs, and human approvals.
2026년 AI 워크플로를 위한 실전 콘텐츠: Write reusable agent skills with clear triggers, workflows, assets, quality gates, and safe boundaries.