ab504bdf8c
Extract `/ultra-cc-architect-local` and `/ultra-skill-author-local` plus all 7 supporting agents, the `cc-architect-catalog` skill (13 files), the `ngram-overlap.mjs` IP-hygiene script, and the skill-factory test fixtures from `ultraplan-local` v2.4.0 into a new `ultra-cc-architect` plugin v0.1.0. Why: ultraplan-local had drifted into containing two distinct domains — a universal planning pipeline (brief → research → plan → execute) and a Claude-Code-specific architecture phase. Keeping them together forced users to inherit an unfinished CC-feature catalog (~11 seeds) when they only wanted the planning pipeline, and locked the catalog and the pipeline into the same release cadence. The architect was already optional and decoupled at the code level — only one filesystem touchpoint remained (auto-discovery of `architecture/overview.md`), which already handles absence gracefully. Plugin manifests: - ultraplan-local: 2.4.0 → 3.0.0 (description + keywords updated) - ultra-cc-architect: new at 0.1.0 (pre-release; catalog is thin, Fase 2/3 of skill-factory unbuilt, decision-layer empty, fallback list still needed) What stays in ultraplan-local: brief/research/plan/execute commands, all 19 planning agents, security hooks, plan auto-discovery of `architecture/overview.md` (filesystem-level contract, not code-level). What moved (28 files via git mv, R100 — full history preserved): - 2 commands, 8 agents, 1 skill catalog (13 files), 2 scripts, 8 fixtures Documentation updates: plugin CLAUDE.md and README.md for both plugins, root README.md (added ultra-cc-architect section, updated ultraplan-local section), root CLAUDE.md (added ultra-cc-architect to repo-struktur), marketplace.json (registered ultra-cc-architect), ultraplan-local CHANGELOG.md (v3.0.0 entry with migration guidance). Test verification: ngram-overlap.test.mjs passes 23/23 from new location. Memory updated: feedback_no_architect_until_v3.md now points at the new plugin and reframes the threshold around catalog maturity rather than an ultraplan-local milestone. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
59 lines
2.8 KiB
JSON
59 lines
2.8 KiB
JSON
{
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"$schema": "https://anthropic.com/claude-code/marketplace.schema.json",
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"name": "ktg-plugin-marketplace",
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"owner": {
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"name": "Kjell Tore Guttormsen",
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"email": "ktg@fromaitochitta.com"
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},
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"metadata": {
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"description": "Open-source Claude Code plugins for AI-assisted development, security, and planning",
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"version": "1.0.0"
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},
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"plugins": [
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{
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"name": "llm-security",
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"source": "./plugins/llm-security",
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"description": "Security scanning, auditing, and threat modeling for Claude Code projects. OWASP LLM Top 10 (2025) and Agentic AI Top 10."
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},
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{
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"name": "config-audit",
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"source": "./plugins/config-audit",
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"description": "Multi-agent workflow for analyzing, reporting, and optimizing Claude Code configuration across your entire machine"
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},
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{
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"name": "ultraplan-local",
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"source": "./plugins/ultraplan-local",
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"description": "Four-command context-engineering pipeline (brief → research → plan → execute) with specialized agent swarms, external research triangulation, adversarial review, session decomposition, and headless execution"
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},
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{
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"name": "ultra-cc-architect",
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"source": "./plugins/ultra-cc-architect",
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"description": "Match a task brief and research against available Claude Code features (Hooks, Subagents, Skills, MCP, Plan Mode, Worktrees, Background Agents) with brief-anchored rationale and explicit coverage gaps. Includes the skill-factory authoring command. Pre-release (v0.1.0)."
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},
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{
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"name": "linkedin-thought-leadership",
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"source": "./plugins/linkedin-thought-leadership",
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"description": "Build LinkedIn thought leadership with algorithmic understanding, strategic consistency, and authentic engagement. Updated for the January 2026 360Brew algorithm change."
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},
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{
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"name": "graceful-handoff",
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"source": "./plugins/graceful-handoff",
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"description": "Produce session-handoff artifacts, commit and push pending work, and print a copy-paste prompt for the next session. Designed for context-constrained models like Opus 4.7."
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},
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{
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"name": "ai-psychosis",
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"source": "./plugins/ai-psychosis",
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"description": "Meta-awareness tools for healthy AI interaction patterns. Detects reinforcement loops, scope escalation, narrative crystallization, and other compulsive patterns."
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},
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{
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"name": "ms-ai-architect",
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"source": "./plugins/ms-ai-architect",
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"description": "Microsoft AI Solution Architect — structured architecture guidance for the full Microsoft AI stack."
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},
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{
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"name": "okr",
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"source": "./plugins/okr",
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"description": "Expert OKR guidance for Norwegian public sector. Write, review, cascade, track and govern OKR based on Google/Doerr methodology adapted for 4-month tertial cycles."
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}
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]
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}
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