Generate business analysis artifacts — competitive analysis, UX strategy documents, wireframe prototypes, and production UI from research inputs — for product design and market assessment workflows.
Competitive analysis — identify competitors, build feature matrix, assess positioning, and produce go/no-go verdict with kill-criteria framing. Use when "competitive analysis", "compare competitors", "positioning vs", "competitive landscape", "battlecard", "who are the competitors". Outputs analysis/competitive-analysis.md.
Visual identity strategy — derives brand design tokens from audience psychology (Archetype × Tech-Comfort matrix). Produces design-system.yaml + brand-sheet HTML + rationale doc. Consumes /ux-strategize output. Use when "ux brand", "brand identity", "design system", "color palette", "visual identity", "brand strategy".
UX heuristic evaluation and usability assessment — reviews HTML wireframes against UX strategy artifacts and established principles. Read-only, produces scored reports. Use when "ux evaluate", "heuristic evaluation", "usability review", "ux audit", "accessibility check", "strategy alignment". Consumes /ux-wireframe and /ux-strategize output.
Visual design quality skill — elevates HTML wireframes from structural prototypes to polished UI. Applies typography, color, spacing, motion, interaction polish. Works on /ux-wireframe output or any HTML. Use when "ux polish", "polish wireframe", "colorize", "design audit", "design critique", "visual polish", "add color", "improve design".
Strategic UX artifact generator — empathy maps, JTBD, journey maps, VPC, personas, customer forces from business analysis. Use when "ux strategy", "empathy map", "jtbd", "journey map", "value proposition", "persona", "customer forces", "ux artifact". Outputs ux/{artifact}-{subject}.md.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Praxis (πρᾶξις) = practice. Knowledge enacted, not just known.
⚠️ Live experiment. My cognitive toolkit — fork it, adapt it to your brain.
A cognitive discipline for human-AI collaboration built on mutual sharpening — the human sets intent and directs, the AI challenges and reveals blind spots, and both learn from the loop.
AI tools are powerful but chaotic. Most people either micromanage every prompt or let AI run wild and pray. Neither scales to real work.
This toolkit treats AI collaboration as cognitive discipline — a set of thinking modes you activate depending on the situation, where the AI also pushes back on your assumptions. The goal is not to make AI do more. It's to think better together — and that includes letting AI challenge the human.
Deeper why → PHILOSOPHY.md
flowchart LR
F["🧭 Frame"] --> T["🧠 Think"]
T --> B["⚙️ Build"]
B --> D["🔧 Debug"]
D --> L["🪞 Learn"]
L -.->|"compounding loop"| F
classDef frame fill:#E8EAF6,stroke:#3F51B5,color:#000
classDef think fill:#E1BEE7,stroke:#7B1FA2,color:#000
classDef build fill:#C8E6C9,stroke:#388E3C,color:#000
classDef debug fill:#FFE0B2,stroke:#F57C00,color:#000
classDef learn fill:#BBDEFB,stroke:#1976D2,color:#000
class F frame
class T think
class B build
class D debug
class L learn
| Mode | What | Hero Skills |
|---|---|---|
| 🧭 Frame | Classify the problem → route to the right skill chain | /frame-problem (Cynefin), /pick-model |
| 🧠 Think | Divergent ideation, deep analysis, adversarial review | /brainstorm (SCAMPER), /investigate, /probe, /challenge |
| ⚙️ Build | Plan → develop → gate → test → sync | /openspec-* suite (9 skills, human-gated sections) |
| 🔧 Debug | Search-first troubleshooting with learnings DB | /troubleshoot (Wolf Fence, 5 Whys, OODA), /experiment |
| 🪞 Learn | Extract patterns, persist sessions | /retrospect-*, /save-context, /load-context |
Plus: tool creation (/edit-tool), conversions (PDF, EPUB, Google Docs), and domain plugins (GTD, coaching, business analysis, philosopher personas).
Not human-drives-AI. Not AI-drives-human. Mutual sharpening:
Key: Posture before technique — but posture includes the willingness to be challenged.
Full autonomy spectrum + orchestrated agency → PRACTICE.md
Not "how fast" — how deep:
| Tier | What | Value/Token |
|---|---|---|
| ⚙️ Automation | Rote tasks (convert, deploy, format) | Low |
| 🤝 Assisted Thinking | AI structures human thought | Medium |
| 🧠 Amplified Judgment | AI challenges/deepens reasoning | High |
Maturity = shifting tokens from ⚙️ toward 🧠.
Multiplied by context efficiency (don't waste tokens re-explaining) and compounding (learnings reduce future spend). Full model → PRACTICE.md
| Plugin | Description | Status |
|---|---|---|
| dstoic | Core cognitive toolkit: 47 skills, 0 commands, 4 hooks | ✅ v0.24.0 |
| gtd | GTD workflow automation for Obsidian vaults | ✅ v0.3.1 |
| coach | Personal coaching: CLEAR + GROW protocols | ✅ v0.3.0 |
| biz | Business analysis toolkit: competitive analysis, UX strategy, UX wireframes, UX evaluation, UX brand identity | ✅ v0.7.1 |
| philosopher | Philosopher personas: historically-grounded dialogue, source attribution, AI meta-cognition | ✅ v0.1.0 |
| cowork | Multi-project context management: switch projects, save/load sessions. Non-CLI friendly | ✅ v0.2.0 |
/install-plugin https://github.com/digital-stoic-org/agent-skills
To install a specific plugin only, add it to .claude/settings.json:
{"plugins": ["digital-stoic-org/agent-skills/dstoic"]}
npx claudepluginhub digital-stoic-org/agent-skills --plugin bizPhilosopher persona plugin for Claude Code: historically-grounded philosophical dialogue with source attribution, period awareness, and meta-cognition.
Multi-project context management: switch projects, save/load sessions. Designed for non-CLI interfaces (Cowork desktop, Telegram).
Coaching plugin for Claude Code: personal (CLEAR protocol, anxiety-first) and signal (GROW protocol, strategic positioning) domains.
GTD workflow automation for Obsidian vaults: capture, triage, route, focus
Cognitive development toolkit for Claude Code: OpenSpec workflow management, context serialization, retrospective analysis, and tool orchestration.
Product management skills — turn messy ideas into specs, design experiments, synthesize research, and draft readouts.
Advanced PM skills: AI Product Canvas, Multi-Source Signal Synthesiser, Experiment Designer, Design Handoff Brief. For senior PMs working on complex or AI-powered products.
Product discovery skills for PMs: ideation, experiments, assumption testing, feature prioritization, and customer interview synthesis.
Business and product skills for PRDs, user stories, client proposals, competitor analysis, feature prioritization, and stakeholder updates.
Structured thinking methods that counteract LLM reasoning biases during problem exploration — first principles, inversion, constraint manipulation, perspective forcing, analogy search, and more, with user-gated parallel subagent exploration for deep dives
18 production-ready Claude Code skills for Product Managers. Discovery, build, measure, communicate.