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Add skill: agent-workflow-packager - #530
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Andrew1326 merged 1 commit intoJul 6, 2026
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Reviewed via skill-reviewer (ACCEPT, quality 93/100, security SAFE, no duplicates) and validator (impact 9.00x, gpt-oss:20b-64k). Frontmatter, structure, examples, and cross-platform checks all pass. Merging with generated _scores.json and regenerated index.json.
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Add Skill:
agent-workflow-packagerChecklist
Before submitting, ensure your skill meets these requirements:
Frontmatter (SKILL.md YAML header)
name? Lowercase kebab-case only (a-z,0-9,-), max 64 charsdescription? States WHAT it does and WHEN to use it, includes trigger words, max 1024 chars, third person (no "I"/"you"/"we")license? Present (e.g.,Apache-2.0)compatibility? Concrete system requirements or "No special requirements"metadata.author? Your GitHub usernamemetadata.version? Semantic version ("1.0.0")metadata.category? One of the supported categoriesmetadata.tags? Array of 3-5 relevant tagsBody Sections
Quality
Files
skills/agent-workflow-packager/SKILL.mdaddeduse-cases/Which use case does this skill serve?
This serves teams that repeatedly paste the same high-context coding-agent prompts or AGENTS.md sections for PR reviews, releases, CI triage, or repo-specific workflows. The skill turns those repeated workflows into reusable
SKILL.mdpackages with triggers, boundaries, examples, and verification checks.Added use case:
use-cases/package-repeated-ai-agent-workflows.md.Example usage
A team has a recurring payment PR review prompt covering Stripe webhook replay, idempotency, auth checks, and billing tests. They ask the agent to package that prompt plus old review comments into
skills/payment-pr-reviewer/SKILL.md. The generated skill includes concrete triggers, required inputs, review steps, approval boundaries, two examples, and a done checklist.Category
developmentAdditional context
I also updated the README skill table and use-case list. I ran local checks for frontmatter presence, required fields, target link paths, line counts, non-ASCII content, and
git diff --check. I did not include a regeneratedskills/index.jsonbecausescripts/generate-index.jsappears to parse only LF frontmatter on this Windows checkout and incorrectly reduced the index to one skill.