solacedev/solace-developer-workshops/references
Claude Code and agent skill by solacedev/solace-developer-workshops
- community
Checking that the SKILL.md file is still in the repository.
Install
npx vskill@latest install solacedev/solace-developer-workshops/referencesSKILL.md
Kind: skill
Manifest path: resources.skills
A skill is a reusable instruction-and-asset bundle that agents can attach via skillRefs (clean-spec authoring) or skillIds (the wire shape; the apply layer resolves names to platform UUIDs).
Skills are directory-shaped resources. The canonical metadata lives in SKILL.md frontmatter — the same convention as agentskills.io. There is no separate skills/<name>.yaml header file; the bundle directory IS the resource.
Directory layout
Files under assets/ can also be templates: an asset paired with a <name>.template.yaml sidecar ships a report/document template the agent fills and renders, with no generation code. See skill-asset-templates.md for the sidecar contract and a worked example.
The manifest entry under resources.skills: names the skill; the matching directory under skills/<name>/ carries the body. The frontmatter name MUST match both the directory name and the manifest entry, or sam config plan hard-errors.
SKILL.md frontmatter
Renaming a skill means renaming both the directory and the frontmatter name together — the apply layer treats a name change as delete + create, and any agent's skillRefs referencing the old name will surface a plan-time dangling-reference error until updated.
Apply flow
- The resolver reads
skills/<name>/SKILL.md, parses its
frontmatter, and extracts the description.
- The reconciler bundles
skills/<name>/into a deterministic ZIP
(sorted entries, fixed mtime — same machinery as toolsets) and uploads it to the platform (multipart; description as a form field). Re-uploads against an existing skill reuse the same upload endpoint.
- The platform validates the ZIP server-side: SKILL.md must be at the
root, and its frontmatter name becomes the persisted skill name.
Re-uploads are hash-diffed: the reconciler compares the local bundle's SHA-256 against the platform-stored SkillDetailResponse.contentHash and skips the upload when they match, so an unchanged skill plans as a no-op instead of bouncing through pending→ready and redeploying every bound agent. A description-only edit PATCHes metadata but skips the upload. A skill stuck in discoveryStatus: failed always re-uploads to retrigger the STR scan.
Pull flow
sam config pull downloads each skill's ZIP and unpacks it under skills/<name>/. The bundle's SKILL.md (with its frontmatter) is written verbatim. If the platform has no uploaded bundle yet (discovery_status == "created") or the unpack fails, pull writes a synthesized SKILL.md from the platform's stored name/description so the user can re-author the bundle locally.
Frontmatter shape
Each <skill>/SKILL.md begins with YAML frontmatter the platform reads:
Any other frontmatter keys are passed through to the platform unchanged. The body of SKILL.md is rendered as-is by the harness — keep it terse, with prompts/templates broken out into assets/.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingsample_configuration/.claude/skills/sam-declarative-config/references/skill.md
Popularity
- Repository stars
- 50
- Repository forks
- 12
- 7-day trend score
- 0
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.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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