swarmauri/swarmauri-sdk/swarmauri-add-experimental-standalone

Claude Code and agent skill by swarmauri/swarmauri-sdk

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Add an experimental standalone Swarmauri package under pkgs/experimental. Use when Codex needs experimental package scaffolding, planning-stage metadata, optional workspace membership, README branding, entry points when discoverable, registry decisions, tests, and validation.

Install

npx vskill@latest install swarmauri/swarmauri-sdk/swarmauri-add-experimental-standalone

SKILL.md

Swarmauri Add Experimental Standalone

Workflow

  1. Choose pkgs/experimental/<package_name> and inspect nearby experimental packages before scaffolding.
  2. Create package source, README, pyproject.toml, tests, and exports using the closest matching package family.
  3. Add metadata: Planning development status, Python 3.10-3.12 classifiers, Apache-2.0, Jacob Stewart as the author, descriptive summary, and experimental keywords.
  4. Add workspace membership only when the package should be installed and tested with the workspace; leave it out when the surrounding experimental pattern excludes similar packages.
  5. Add entry points only for components intended to be discovered at install time.
  6. Add citizenship registry rows only when the resource is meant to appear through the Swarmauri facade; use third-class for generic swarmauri.plugins resources.
  7. Add scoped tests for behavior, importability, metadata, and entry-point discovery when entry points exist.

Required References

Read these before changing files:

  • ../../references/repo-patterns.md
  • ../../references/package-readme.md
  • ../../references/inheritance-entrypoints.md
  • ../../references/registry-rules.md

Completion Checks

  • Keep experimental packages under pkgs/experimental.
  • State explicitly in the final response whether workspace membership and citizenship registry rows were added or intentionally skipped.
  • Run validation for the new member when it is in the workspace.

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
104
Repository forks
47
7-day trend score
23

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 19 May 2026, 5 months ago.

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