azure/azure-sdk-for-java/create-package-skill

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Interactive wizard that walks service teams through creating a package-specific skill for their Azure SDK package. Scans the package, detects customization patterns, scaffolds a SKILL.md with references, and validates with vally lint. The skill is placed inside the package''s .github/skills/ directory so find-package-skill discovers it automatically. WHEN: create package skill; add service skill; bootstrap skill for package; new package skill; skill for my SDK package; write skill for search; write skill for cosmos.

Install

npx vskill@latest install azure/azure-sdk-for-java/create-package-skill

SKILL.md

Create Package Skill Wizard

Minimal beats comprehensive. Human-written beats auto-generated. Scaffold and iterate.
Skills encode tribal knowledge — the "I wish someone had told me" stuff that's hard to learn from just reading code. Focus on what's non-obvious and package-specific.

Interaction Protocols

CONFIRM Protocol (asset-producing steps — creating files):

  1. PRESENT the proposed assets and explain why.
  2. ASK exactly one question: "Create now (recommended), edit first, or skip?"
  3. ACT immediately. Create → write files this turn. Edit → refine, re-ask. Skip → move on.

DECIDE Protocol (informational/correction steps — no files created):

  1. PRESENT the information or findings.
  2. ASK one specific question appropriate to the decision.
  3. PROCEED based on the answer.

One question at a time. Respect "skip" — never re-ask or defer.

Wizard Flow

Run each phase in order. Progressive loading: Read only the current phase file.

PhaseDescriptionInstructions
Phase 0🧭 Scan Package — detect architecture, customizations, key filesphases/00-scan-package.md
Phase 1📝 Scaffold SKILL.md — generate skill with common pitfalls, architecture, workflowphases/01-scaffold-skill.md
Phase 2📚 Generate References — create architecture.md and customizations.mdphases/02-generate-references.md
Phase 3Validate -- run vally lintphases/03-validate.md
Phase 4📋 Finalize — confirm discoverable location, summarizephases/04-finalize.md

Guardrails

Content:

  • Every line must be non-obvious and package-specific. No generic Java/SDK patterns.
  • SKILL.md should be under 500 tokens (soft limit). Move details to references/.
  • References under 1000 tokens each. Split if larger.
  • Never duplicate what's already in .github/copilot-instructions.md or shared skills.

Relationship to existing SDK tools:

  • Package skills complement the Azure SDK MCP tools (azsdk_package_generate_code, azsdk_package_build_code, etc.) and the generate-sdk-locally shared skill — they do NOT replace them.
  • MCP tools handle deterministic operations (generate, build, test). Package skills provide the reasoning context an agent needs to use those tools correctly for a specific package.
  • Never redefine how generation, building, or testing works — reference the existing tools instead (e.g., "Run tsp-client update", not custom generation steps).
  • If a workflow step is already handled by an MCP tool or shared skill, just reference it — don't re-document it.

Structure:

  • Skill directory: sdk/<service>/<package>/.github/skills/<skill-name>/
  • Directory name MUST match name field in frontmatter (vally lint enforces this).
  • Use semicolons to separate trigger phrases in description (YAML-safe).

Security:

  • Never embed secrets or credentials in skill content.
  • Never instruct agents to bypass CI, linters, or checkstyle rules.
  • Never instruct agents to edit generated files directly — always route through customizations.

Key Principles (from eval data)

Our eval showed that skill structure matters more than volume:

PatternImpact
"Common Pitfalls" section at the TOPAgent reads pitfalls before analyzing errors → correct diagnosis
"Check X FIRST" directivesChanges agent default from "fix the error location" to "check the customization layer"
Error categorization tablesGives agent a decision framework, not just procedures
@Generated annotation guidanceAgent distinguishes auto-updated vs hand-written methods in generated files

References (load on demand)

Security

  • Security scanPassed, 95 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
2,562
Repository forks
2,202
7-day trend score
44

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

Works with

Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.

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