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Author SHA1 Message Date
BERORINPO
db7f2a6fd5 fix(skills): move top-level origin frontmatter key under metadata 
The official Agent Skills spec (agentskills.io/specification) whitelists exactly
6 top-level frontmatter keys (name/description/license/compatibility/metadata/
allowed-tools). A top-level `origin` key fails the official validator
(anthropics/skills quick_validate.py ALLOWED_PROPERTIES; skills-ref validate).

This moves `origin: X` -> `metadata.origin: X` across the canonical skills/
tree, preserving each value verbatim. Frontmatter-only, minimal diff.

- 251 SKILL.md updated (242 new metadata block, 9 appended to existing metadata)
- origin values preserved verbatim (verified 251/251)
- YAML validated on all changed files
- scoped to canonical skills/ only (docs/<lang> translations + tool mirrors
  .cursor/.kiro/.agents left untouched; presumably regenerated from canonical)

Addresses #2233
 2026-06-11 21:12:21 +09:00
Alexis Le Dain
f03e200136
feat: add Quarkus handling 
Adds Quarkus handling across the Java skill/reviewer surface, with maintainer follow-up fixes for duplicate catalog entries, required skill sections, localized snippet structure, and current main alignment.\n\nValidation run locally on the final PR head:\n- NODE_PATH=/Users/affoon/GitHub/ECC/everything-claude-code/node_modules node scripts/ci/validate-install-manifests.js\n- NODE_PATH=/Users/affoon/GitHub/ECC/everything-claude-code/node_modules node scripts/ci/validate-skills.js\n- NODE_PATH=/Users/affoon/GitHub/ECC/everything-claude-code/node_modules node scripts/ci/catalog.js --text\n- npx --yes markdownlint-cli docs/ECC-2.0-GA-ROADMAP.md\n- git diff --check\n- NODE_PATH=/Users/affoon/GitHub/ECC/everything-claude-code/node_modules node tests/run-all.js (2324 passed, 0 failed)
 2026-05-12 09:30:26 -04:00
Jinyi_Yang
83f6d5679c
feat(skills): add prompt-optimizer skill and /prompt-optimize command (#418) 
* feat(skills): add prompt-optimizer skill and /prompt-optimize command

Adds a prompt-optimizer skill that analyzes draft prompts, matches them
to ECC components (skills/commands/agents), and outputs a ready-to-paste
optimized prompt. Advisory role only — never executes the task.

Features:
- 6-phase analysis pipeline (project detection, intent, scope, component
  matching, missing context, workflow + model recommendation)
- Auto-detects project tech stack from package.json, go.mod, etc.
- Maps intents to ECC commands, skills, and agents by type and tech stack
- Recommends correct model tier (Sonnet vs Opus) based on task complexity
- Outputs Full + Quick versions of the optimized prompt
- Hard gate: never executes the task, only produces advisory output
- AskUserQuestion trigger when 3+ critical context items are missing
- Multi-prompt splitting guidance for HIGH/EPIC scope tasks
- Feedback footer for iterative refinement

Also adds /prompt-optimize command as an explicit invocation entry point.

* fix: keep prompt optimizer advisory-only

* fix: refine prompt optimizer guidance

---------

Co-authored-by: Affaan Mustafa <affaan@dcube.ai>
 2026-03-12 23:40:02 -07:00