skills/auto-workflow-creator/SKILL.md
--- name: auto-workflow-creator description: Create a new skill from a workflow you just performed. Generates a valid 3-layer Anthropic-style skill — YAML frontmatter (name + description + triggers), imperative instruction body, and optional scripts/ subdirectory — and prints the registration commands per target runtime (Claude Code auto-discovers from ~/.claude/skills/; Codex needs an explicit [[skills.config]] entry in ~/.codex/config.toml; OpenCode needs a registry entry in ~/.opencode/openco
npx skillsauth add ic1558/0luka skills/auto-workflow-creatorInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Interactive 3-layer skill generator. Turns a one-off workflow into a reusable, discoverable skill in one pass — without violating cross-agent config boundaries.
Do NOT use for:
skill-creator for that).| Layer | What | Where |
|---|---|---|
| 1 — Description | YAML frontmatter name + description with explicit triggers | SKILL.md head |
| 2 — Instructions | Imperative Markdown body — when to use, steps, do/don't | SKILL.md body |
| 3 — Tools | Optional executable scripts referenced from Layer 2 | scripts/ subdir |
Skills that already conform to Layer 1+2 do not need Layer 3 (matches the Phase-1 finding: most wiki skills correctly carry illustrative inline blocks, not extractable scripts).
The tool is scripts/create_skill.py next to this SKILL.md. Run it via:
python3 ~/0luka/skills/auto-workflow-creator/scripts/create_skill.py --help
Two modes:
Flag-driven (one-shot):
python3 .../create_skill.py \
--name <slug> \
--description "<one-paragraph, includes explicit triggers>" \
--body-file /tmp/body.md \
--scripts \
--register claude
Interactive (guided):
python3 .../create_skill.py --interactive
Default output root is ~/obsidian-wiki/.skills/, which matches the declared
wiki/data skill source of truth. For an independent agent skill under
~/0luka/skills/, pass --output-root ~/0luka/skills.
<output-root>/<name>/SKILL.md with valid frontmatter (name, description) and the body you provided.<output-root>/<name>/scripts/ directory (if --scripts) with a stub <name>.py.--register claude and the new skill is outside ~/.claude/skills/, it creates a symlink
~/.claude/skills/<name> → <output-root>/<name>/ so Claude Code auto-discovers it. This follows
the SOT-symlink pattern documented in skill_registry_topology.md.~/.codex/config.toml directly. With --register codex it prints the
[[skills.config]] path = "..." entry to copy/append, so the owning agent (Codex) registers it.~/.opencode/opencode.json directly. With --register opencode it prints the
registry entry for Rio/OpenCode to apply.This preserves the contract from dispatch-route + cross-agent-respect: CLC stages cross-agent
changes, the owning agent applies them.
python3 ~/0luka/tools/ops/skill-registry/skill_lint.py --root <output-root> should score the new
skill as CONFORMS (Layer 1 description present, no bulky inline blocks unless scripts/ exists).--register claude was used: ls -la ~/.claude/skills/<name> resolves through the symlink./skills list (auto-discovery).This is P3a only by design.
tools
# Cost-Control Skill Enforce token discipline and model routing optimization (Flash vs Pro) via the Gemini CLI 0.40 Gemma local router for governed-agent workflows. ## Guidelines - **Preference for Local/RTK/File Tools:** Always prioritize local tools (ls, read_file, grep_search) and RTK for initial data gathering before calling model logic. - **Flash-First Routing:** - Route all routine code analysis, file reads, summarization, search, and classification tasks to `gemini-3.5-flash-preview` o
development
--- name: verify-first description: Run verification gates before and after code changes, prioritize health and regressions, and fail closed on missing evidence. Mandatory Read: YES --- # Verify First Mandatory Read: YES ## Workflow 1. Capture baseline verify results. 2. Apply minimal changes. 3. Re-run targeted and system-level verify commands. 4. Report explicit pass/fail evidence. ## Caps - Run deterministic verification commands. - Compare before/after outcomes. - Block claims without pr
testing
Use this skill when you need to perform a READ-ONLY forensic validation of a completed task (evidence), verify compliance against a TaskSpec, or issue a formal verdict (PASS/FAIL) before GMX approval. Strictly forbids modification or execution.
testing
Use this skill to perform forensic validation of IFC models, specifically focusing on Material Layer Sets, Classification compliance, and Quantity field presence. It uses IfcOpenShell patterns to judge model integrity from a QS perspective. Strictly read-only and verdict-only.