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CC templater

The full extract → classify → blueprint → de-dup → publish pipeline for a finished `.ralphy/workspaces/<ws>/projects/<id>/`. Reads its `units/*/unit.json` (#069) as the Unit source of truth, then factors the project into ALL FIVE entities — Unit + the four typed blocks Template (structure), Style (look), Recipe (effect/treatment), Asset (reusable media). Applies the recipe-vs-tag split (#082/#083): a candidate is a Recipe only if it carries an extractable artifact (ffmpeg filtergraph / HyperFrames snippet / encode recipe / prompt technique); otherwise it is a Tag on the Unit. Captures a per-unit Blueprint (#080), de-dups every block against the live library FIRST, then prints the exact ordered `publish-entity.ts` commands (dry-run → --push). Publishing itself is the #056 path. USE WHEN the user says any of: "save this as a template", "turn the project into a template", "templatify <project-id>", "extract a template from <project>", "decompose this project into blocks", "what units/blocks did this project produce", "I want others to reproduce this", "make a reusable version of <project>", "extract the entities from <project>", "classify this project", "freeze this project". ALSO FIRE proactively after a successful render + postmortem the user rates 8+/10 — the experience is most reusable while still fresh. DO NOT FIRE for scaffolding a new project, one-off renders, or quality evaluation — see the DO NOT FIRE section in the body.

alecs5am/ralphy Agent Skills author: alecs5am 7 files body ≈ 5 894 tokens Open the sourcegithub.com↗ analyzed 11 h ago

The full extract → classify → blueprint → de-dup → publish pipeline for a finished .ralphy/workspaces/<ws>/projects/<id>/. Reads its units//unit.json (069) as…

As a process C 68/100 · Has gaps — References files that are not bundled: ../../../docs/playbooks/unit-lifecycle.md, scripts/*.sh, templates/<category>/<slug>/

TemplateSoftware developmentAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
78/100
safety, quality, tests
Safety 60%
100
Quality 40%
45
Run on models
none yet
Process rating
C
68/100
Has gaps
References files that are not bundled: ../../../docs/playbooks/unit-lifecycle.md, scripts/*.sh, templates/<category>/<slug>/
Tools and files w 18
0
Result and completion w 14
60
When it triggers w 12
70
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: templater (alecs5am/ralphy)

How to improve

  1. Shorten the description to 1024 characters.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1451 chars, limit 1024
  • warning body-long SKILL.md body ≈ 5894 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../../../docs/playbooks/unit-lifecycle.md
  • warning missing-ref reference to a missing file: scripts/*.sh
  • warning missing-ref reference to a missing file: templates/<category>/<slug>/
  • note frontmatter-key unknown frontmatter key "namespace"

Process rating: all ten parameters 68/100

Will not run. References files that are not bundled: ../../../docs/playbooks/unit-lifecycle.md, scripts/*.sh, templates/<category>/<slug>/
  • 0Tools and files. 3 referenced file(s) missing: ../../../docs/playbooks/unit-lifecycle.md, scripts/*.sh, templates/<category>/<slug>/
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5894 tokens
  • 100Steps. 59 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (18 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)
  • +3Description length 1451: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 11 example trigger phrases
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 59 items
  • +3Output format is stated explicitly
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 45.