SKILLEMALL.ai

AF marketplace-dev

Creates and maintains Claude Code plugin marketplaces, consolidates standalone skills into a new or existing suite, and moves skills between suites. Converts any Claude Code skills repository into an official plugin marketplace, generates spec-conforming .claude-plugin/marketplace.json, validates with `claude plugin validate`, tests real installation and cache boundaries, and PRs the upstream repo, encoding hard-won schema/version/description anti-patterns. Use when the user mentions marketplace, plugin support, one-click install, marketplace.json, plugin distribution, auto-update, suite-only migration, "put these skills in a suite", "move this skill into daymade-*", or wants a skills repo installable via `claude plugin install`.

daymade/claude-code-skills Claude Code author: daymade 10 files · 3 scripts body ≈ 3 957 tokens Open the sourcegithub.com analyzed 2 h ago

Creates and maintains Claude Code plugin marketplaces, consolidates standalone skills into a new or existing suite, and moves skills between suites.

As a process F 44/100 · Will not run — References files that are not bundled: demo.gif

GeneratorGitHubCommerceAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
F
44/100
Will not run
References files that are not bundled: demo.gif
Tools and files w 18
0
Result and completion w 14
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: demo.gif

Process rating: all ten parameters 44/100

Will not run. References files that are not bundled: demo.gif
  • 0Tools and files. 1 referenced file(s) missing: demo.gif
  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 12 mutating operations with no state check
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 71 steps, 2 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3957 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (5 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +3Description length 739: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 71 items
  • +4Has examples (11 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.