Append feature specifications with acceptance criteria to FEATURES.md.
npx skills add https://github.com/wesuuu/runbook --skill add-feature-wesuuu
Please help me install this Agent Skill. Skill: add_feature Source: https://github.com/wesuuu/runbook/tree/main/.agent/skills/add_feature Command: npx skills add https://github.com/wesuuu/runbook --skill add-feature-wesuuu
Manually creating and maintaining feature specifications in the FEATURES.md backlog is repetitive and error-prone. This skill automates the process by drafting a complete spec with acceptance criteria and appending it to the backlog in a consistent format.
Describe your feature idea, and I will append a detailed specification to FEATURES.md with acceptance criteria.
High-intent search queries and answers about installing and using this skill.
To automate feature specifications, you provide a feature idea and the tool drafts a complete spec with acceptance criteria, then appends it to FEATURES.md. This ensures consistent formatting and eliminates manual backlog entry errors.
Generating acceptance criteria for a new feature involves gathering details from the user and formatting them into a structured entry. The tool automatically derives the next feature number and writes these criteria directly into your FEATURES.md file.
To prevent duplicate entries in FEATURES.md, the tool reads the existing backlog to determine the next sequential feature number. It checks current entries before appending a new specification to maintain a traceable, versioned backlog.
You do not need an existing FEATURES.md file to write feature specs. The tool can read an existing backlog or create a new FEATURES.md file, deriving the next feature number and appending your detailed specification accordingly.
You can use this to maintain a versioned backlog for project management by appending structured feature entries to FEATURES.md. It enables teams to capture ideas as formal specs with acceptance criteria, ensuring traceability across project contexts.
A limitation of automating feature spec creation is that it operates specifically within the FEATURES.md file format. It requires user interaction to gather details for the specification, meaning incomplete inputs may result in underdeveloped acceptance criteria.
tomzxBootstrap repository onboarding with SDLC structure and automated issue triage workflows.
OreStudioUpdate sprint backlog files, version strings, and CI configuration for a new Agile sprint.
lukevellaEnforce emoji-prefixed commit messages in Git workflows.
hairihouExtract YAML frontmatter and body from Claude command files as JSON.
