By aibilitycz
Knowledge compounding, context engineering, and expert psychometric knowledge — learn by doing, never forget.
Autonomous quality review of assessment instruments. Use when the user asks to audit, check, or review an assessment configuration — item definitions, scoring config, rubric files (YAML/JSON/CSV). Produces a structured report with severity-rated findings.
Context engineering agent. Builds and maintains structured knowledge docs — CLAUDE.md files, knowledge bases, onboarding guides. Use when creating or reorganizing context documents that AI will consume repeatedly.
Deep multi-step psychometric analysis for complex questions spanning 3+ domains. Use when a question requires cross-domain reasoning, tradeoff evaluation, or methodology decisions that can't be answered from a single domain file.
Reviews SKILL.md and agent .md files against the toolkit's quality bar. Grades A-F based on methodology anchoring, safety mechanisms, and CONVENTIONS.md compliance. Use when creating or upgrading skills/agents, or for periodic quality audits of the toolkit.
Capture knowledge — solutions, context docs, learnings, and principles. Use after fixing non-trivial bugs, creating context for AI, or discovering patterns worth preserving. Triggers: compound, document solution, capture fix, save solution, knowledge compound, document this, save this fix, context, create context, update context, build context, learn, save learning, remember this.
Guided 5-step workflow for designing psychometrically sound assessment items. Use when the user wants to create new items, write assessment questions, design forced-choice blocks, build Likert scales, or create situational judgment scenarios. Triggers: write items, create items, design items, new assessment items, MFC blocks, Likert scale, SJT scenarios, item writing, assessment design.
Expert psychometric guidance for assessment development. Use when the user asks about IRT models, reliability, validity, item design, scoring methods, AI-based assessment, statistical analysis, I/O psychology, or assessment ethics. Provides reference mode (neutral explanations) and advisory mode (opinionated recommendations with evidence). Triggers: psychometric, IRT, reliability, validity, item design, scoring, assessment, measurement, DIF, fairness, forced-choice, MFC, Likert, SJT, Cronbach alpha, omega, factor analysis, competency model, AI judge, LLM scoring.
Validates scoring changes against psychometric standards. Use when the user modifies scoring weights, formulas, thresholds, bands, normative references, or composite scoring. Triggers: scoring change, weight change, formula change, scoring review, validate scoring, threshold change, band change, composite score, normative reference.
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5 AI-powered plugins for Claude Code — one per Superpowered Professional dimension. Replace generic development workflows with methodology-grounded alternatives.
/brainstorm → /plan → /work → /review → /compound
Perception Intelligence Creation Intelligence Knowledge
# Add the marketplace (once)
/plugin marketplace add aibilitycz/superpowered-toolkit
# Install individual plugins
/plugin install super-perception@superpowered-toolkit
/plugin install super-intelligence@superpowered-toolkit
/plugin install super-knowledge@superpowered-toolkit
/plugin install super-creation@superpowered-toolkit
/plugin install super-integration@superpowered-toolkit
Install what you need. Each plugin works independently — super-integration ties them together but isn't required.
Skill: /brainstorm — Reframe problems, explore approaches, surface past work before building. Uses Socratic verification (CoVe) to challenge assumptions before accepting problem framing.
Agent: researcher — Scans codebase, docs, past brainstorms, and solutions to gather context.
Knowledge: discovery patterns
Skills:
/plan — Auto-calibrated planning (concise/standard/detailed based on scope). Surfaces past plans and adapts autonomy level to context./review — Focused code, document, or architecture review with evidence-grounded challenge (CoVe verification on each finding)/think — Expert panel simulation, devil's advocate, adversarial verification with provisional confidence/investigate — Detective-style root cause analysis (Sherlock/Poirot/Columbo lenses). Consults past solutions before investigating.Agents: strategic-reviewer, investigator, python-reviewer, typescript-reviewer, security-reviewer, infra-reviewer, performance-reviewer
Knowledge: decision frameworks, critical evaluation, strategic decomposition, socratic patterns, infrastructure ops, security review, Python/FastAPI patterns, TypeScript/Next.js patterns, observability
Skills:
/compound — Capture solutions, context docs, learnings, and principles. Intelligent dedup — checks for existing solutions before creating new ones./psychometric-advisor — Expert guidance across 9 domains (IRT, reliability, validity, item design, scoring, AI assessment, statistics, I/O psychology, ethics)/item-designer — 5-step guided workflow for assessment items. Challenges format selection with psychometric tradeoffs./scoring-reviewer — Validate scoring changes against psychometric standards. Technical checks run autonomously; fairness checks always escalate.Agents: knowledge-architect, psychometry-expert, assessment-auditor, skill-reviewer
Knowledge: context engineering, compounding patterns, active memory integration, 68+ peer-reviewed psychometric citations
Skills:
/work — Execute a plan from start to ship. Read tasks, implement, test, commit, quality checks, push. Defaults to autonomous mode when a plan file is provided./audio — Generate audio content — text-to-speech, podcasts, voice cloning, sound effects, dubbing, and audio isolation (ElevenLabs).Knowledge: the 90/10 craft (AI does 90%, you craft the 10% that matters), CI/CD patterns
Skill: /orchestrate — Detects where you are in the workflow, suggests the next phase, maintains flow between plugins. Memory-informed routing — surfaces existing brainstorms and plans.
Knowledge: workflow patterns (full loop, partial flows, transitions), autonomy modes (confidence-gated escalation)
| Task | Flow |
|---|---|
| Quick bug fix | /investigate → /work |
| New feature | /brainstorm → /plan → /work → /review |
| Hard decision | /think |
| Code review | /review |
| Document a fix | /compound |
| Assessment question | /psychometric-advisor or /item-designer |
| Generate audio | /audio |
| Not sure where to start | /orchestrate |
Skills aren't just prompts — they're structured workflows with:
npx claudepluginhub aibilitycz/superpowered-toolkit --plugin super-knowledgeDiscovery, brainstorming, and problem reframing — see what others miss before building.
Cross-plugin workflow orchestration — brainstorm to plan to work to review to compound, conducted.
Strategic planning, deep thinking, focused review, and detective investigation — grounded in the Super Intelligence superpower.
Execute plans and produce multi-format content — code, audio, docs. AI does 90%, you craft the 10% that matters.
Make your AI agent code with your project's architecture, rules, and decisions.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich documentation with dark-mode VitePress sites, onboarding guides, deep research, and source citations. Inspired by OpenDeepWiki and deepwiki-open.
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault (Karpathy's LLM Wiki pattern). v1.7 "Compound Vault" + v1.8 methodology modes close 5 of 5 priority gaps from the May 2026 compass artifact. Ships: substrate alignment with kepano/obsidian-skills, default Obsidian CLI transport, hybrid retrieval (contextual prefix + BM25 + cosine rerank per Anthropic's Sept 2024 research), per-file advisory locking for multi-writer safety, pre-commit verifier agent, AND methodology modes (LYT / PARA / Zettelkasten / Generic) for first-class organizational support no other Claude+Obsidian competitor offers. v1.7.x audit closure: every BLOCKER + HIGH + MEDIUM + LOW finding from the v1.7.0 audit is CLOSED or DEFERRED-with-rationale. Optional DragonScale Memory extension (log folds, deterministic addresses, semantic tiling lint, boundary-first autoresearch).
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation