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curiositech/windags-skills

Use for insight, reframing, contradiction, impasse, and anomaly-driven problem solving when execution effort no longer helps. NOT for routine optimization, error correction, or well-specified tasks with known solution paths.

Qu'est-ce que windags-skills ?

windags-skills is a Claude Code agent skill that use for insight, reframing, contradiction, impasse, and anomaly-driven problem solving when execution effort no longer helps. NOT for routine optimization, error correction, or well-specified tasks with known solution paths.

Compatible avec✓Claude Code~Codex CLI~Cursor
npx skills add https://github.com/curiositech/windags-skills/tree/HEAD/skills/a-naturalistic-study-of-insight

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Documentation

A Naturalistic Study of Insight

Source basis: Gary Klein and Andrea Jarosz on how insight actually appears in real work, not just puzzle tasks.

When to Use

  • A user is stuck even though they already know the domain and have tried reasonable execution tactics.
  • Contradictory evidence keeps recurring and the current explanation feels increasingly forced.
  • You need to decide whether a problem needs decomposition or a deeper frame change.
  • You are designing systems, teams, or workflows that need discovery instead of just reliable execution.
  • An organization is excellent at preventing error but poor at generating new understanding.

NOT for

  • Routine optimization, incremental improvement, or straightforward debugging inside a stable frame.
  • Problems with clear metrics, known solution classes, and no evidence that the framing itself is wrong.
  • Generic "be more creative" coaching with no concrete contradiction, impasse, or connection signal.

Decision Points

  1. Decide whether the problem is an execution failure or a frame failure. If the current model is still sound, stay in execution mode.
  2. Name the active insight pathway: contradiction, connection, desperation, or gradual accumulation.
  3. Identify the anchor at risk. Ask which belief, category, or causal assumption would need to move for the anomaly to make sense.
  4. Check whether the environment is suppressing insight through compliance pressure, premature documentation, or "explain it away" norms.

Decision Flow

flowchart TD
  A[Stuck problem] --> B{Execution failure or frame failure?}
  B -->|Execution| C[Stay in execution mode]
  B -->|Frame failure| D{Primary insight pathway}
  D -->|Contradiction| E[Test anomaly against core assumptions]
  D -->|Connection| F[Compare across cases for hidden pattern]
  D -->|Desperation| G[Revisit anchors under impasse]
  D -->|Gradual accumulation| H[Track weak signals over time]
  E --> I[Name anchor at risk]
  F --> I
  G --> I
  H --> I
  I --> J{Environment suppressing reframing?}
  J -->|Yes| K[Change review norms before more analysis]
  J -->|No| L[Revise frame and continue]

Working Model

  • Insight is not one mechanism. Contradiction, connection, and impasse trigger different moves and should not be treated as interchangeable.
  • Contradiction work starts when you treat the anomalous datum as potentially more trustworthy than the story currently used to dismiss it.
  • Real-world insight is often gradual. A slow accumulation of weak signals is still insight work if it changes the frame.
  • Expertise is usually an asset because it provides the pattern library needed to notice meaningful anomalies in the first place.
  • Error-prevention systems often interfere with insight because they reward stability, precision, and premature closure over exploratory reframing.

Failure Modes

  • Explaining away every anomaly as noise, measurement error, or a special case.
  • Breaking an insight problem into subtasks too early, which hardens the very frame that needs revision.
  • Treating expertise as contamination rather than a source of higher-quality pattern recognition.
  • Waiting for a dramatic "aha" and missing the slower buildup of evidence across cases.
  • Installing insight rituals in an organization without removing the control structures that punish reframing.

Anti-Patterns and Shibboleths

  • Anti-pattern: decomposing the task further when every subtask still inherits the same bad frame.
  • Anti-pattern: praising "creative thinking" without naming the contradiction, anchor, or pathway that actually needs work.
  • Shibboleth: if the advice never states what belief must change, it is probably motivational talk, not insight support.

Worked Examples

  • An orchestration agent keeps refining task decomposition but still misses the real bottleneck. The right move is to inspect the governing assumption about what the task actually is, not add more subtasks.
  • A safety-focused team has excellent audit trails but never surfaces novel risk patterns. The right move is to protect anomaly review time and challenge the reporting frame, not just add more checklist items.

Fork Guidance

  • Stay in-process for a single stuck case where one frame is dominant and you only need to test a few anchors.
  • Fork one subagent per competing frame when you need independent explanations for the same contradiction without early convergence pressure.

Quality Gates

  • The current frame is named explicitly, not implied.
  • At least one anchor that might need revision is identified.
  • The active pathway is diagnosed before advice is given.
  • Contradictory evidence is treated as evidence, not immediately downgraded to noise.
  • If the environment is organizational, the error-prevention regime is examined alongside the insight problem.

Reference Routing

  • references/three-pathways-anchor-model.md: load when you need a fuller pathway taxonomy and anchor logic.
  • references/contradiction-driven-insight-pathways.md: load when anomalies keep recurring and the main challenge is breaking knowledge shields.
  • references/gradual-insight-and-pattern-accumulation.md: load when the signal is distributed across time rather than tied to one event.
  • references/expertise-enables-insight-not-fixation.md: load when someone assumes expertise is the reason insight is blocked.
  • references/organizational-barriers-to-insight.md: load when process discipline or compliance culture appears to suppress discovery.
  • references/task-decomposition-for-insight-vs-execution.md: load when you need to separate insight work from ordinary execution work.

Individual skills in this repo

This repo contains 20 individual skills — each has its own dedicated page.

curiositech/windags-skills

Expert in 2000s-era music visualization (Milkdrop, AVS, Geiss) and modern WebGL implementations. Specializes in Butterchurn integration, Web Audio API AnalyserNode FFT data, GLSL shaders for audio-reactive visuals, and psychedelic generative art. Activate on "Milkdrop", "music visualization", "WebGL visualizer", "Butterchurn", "audio reactive", "FFT visualization", "spectrum analyzer". NOT for simple bar charts/waveforms (use basic canvas), video editing, or non-audio visuals.

curiositech/windags-skills

Expert legal research agent for finding and scraping expungement data state by state. Knows authoritative sources, URL patterns, Firecrawl configuration, and 2026 legal landscape.

curiositech/windags-skills

Expert in 3D computer vision labeling tools, workflows, and AI-assisted annotation for LiDAR, point clouds, and sensor fusion. Covers SAM4D/Point-SAM, human-in-the-loop architectures, and vertical-specific training strategies. Activate on '3D labeling', 'point cloud annotation', 'LiDAR labeling', 'SAM 3D', 'SAM4D', 'sensor fusion annotation', '3D bounding box', 'semantic segmentation point cloud'. NOT for 2D image labeling (use clip-aware-embeddings), general ML training (use ml-engineer), video annotation without 3D (use computer-vision-pipeline), or VLM prompt engineering (use prompt-engineer).

curiositech/windags-skills

Implement WCAG 2.2 AA/AAA compliance with automated testing, keyboard navigation, screen reader support, and focus management. Activate on: accessibility audit, WCAG compliance, keyboard navigation, screen reader, aria attributes, axe-core, focus trap. NOT for: design-level accessibility review (use design-accessibility-auditor), color contrast only (use css-in-js-architect).

curiositech/windags-skills

Time-blind friendly planning, executive function support, and daily structure for ADHD brains. Specializes in realistic time estimation, dopamine-aware task design, and building systems that actually work for neurodivergent minds.

curiositech/windags-skills

Designs digital experiences for ADHD brains using neuroscience research and UX principles. Expert in reducing cognitive load, time blindness solutions, dopamine-driven engagement, and compassionate design patterns. Activate on 'ADHD design', 'cognitive load', 'accessibility', 'neurodivergent UX', 'time blindness', 'dopamine-driven', 'executive function'. NOT for general accessibility (WCAG only), neurotypical UX design, or simple UI styling without ADHD context.

curiositech/windags-skills

>- Apply crisis decision-making research to agent routing, uncertainty triage, and coordination failure analysis in time-pressured systems. Use when diagnosing handoff failures, analytical paralysis, or expert judgment under incomplete information. NOT for routine coding, simple CRUD design, or static single-agent tasks with complete information.

curiositech/windags-skills

Extend and modify the admin dashboard, developer portal, and operations console. Use when adding new admin tabs, metrics, monitoring features, or internal tools. Activates for dashboard development, analytics, user management, and internal tooling.

curiositech/windags-skills

Conversation patterns and interaction protocols for multi-agent systems. Covers request/response, pub/sub, blackboard, delegation chains, debate, critique, consensus, fan-out/fan-in, supervisor-worker, and peer negotiation. Deep analysis of AutoGen conversation patterns, CrewAI delegation, LangGraph state passing, and FIPA-ACL performatives. Teaches how to design what agents say to each other and in what order. Activate on: "agent conversation", "agent protocol", "multi-agent debate", "agent delegation", "supervisor worker pattern", "agent voting", "consensus protocol", "fan-out fan-in", "agent negotiation", "blackboard pattern", "agent dialogue", "conversation topology", "agent handoff". NOT for: wire format or serialization (use agent-interchange-formats), orchestration infrastructure (use agentic-infrastructure-2026), single agent behavior (use agentic-patterns).

curiositech/windags-skills

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

curiositech/windags-skills

AI-powered calendar management and agent-based scheduling coordination. Covers calendar APIs (Google Calendar, CalDAV/iCal), AI scheduling assistants (Reclaim, Clockwise, Motion, Cal.com), building custom calendar agents with MCP, multi-calendar merging, timezone management, focus block protection, meeting fatigue detection, and agent-to-agent meeting negotiation protocols. Activate on: "calendar agent", "AI scheduling", "calendar coordination", "meeting scheduling", "calendar API", "focus time protection", "calendar optimization", "Google Calendar MCP", "Reclaim", "Clockwise", "Motion", "Cal.com", "smart scheduling", "calendar-aware agent", "timezone scheduling", "agent negotiation meetings". NOT for: manual calendar UI component design (use form-validation-architect), project management scheduling or Gantt charts (use project-management-guru-adhd), general time-tracking or pomodoro apps (use adhd-daily-planner for time-awareness), building the agent itself from scratch (use agent-creator).

curiositech/windags-skills

Build and adopt production AI agent infrastructure in 2026. Covers framework selection (LangGraph, CrewAI, AutoGen, MCP), orchestration patterns, evaluation, observability, memory systems, and tool use. Also covers the SOCIAL dimension: how to sell agent infrastructure internally, change management, measuring ROI, building trust in autonomous systems, and scaling adoption across teams. Activate on: "agent infrastructure", "agent framework comparison", "which agent framework", "sell AI tools internally", "agent adoption", "agent observability", "agent evaluation", "MCP architecture", "agentic mesh", "enterprise AI agents", "AI change management", "agent ROI". NOT for: building specific agents (use ai-engineer), designing agent behavior patterns (use agentic-patterns), prompt tuning (use prompt-engineer).

curiositech/windags-skills

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

curiositech/windags-skills

Automated discovery and matching of agent skills for dynamic task routing and capability assessment

curiositech/windags-skills

Cryptographic security for agentic systems — zero-trust agent networking, signed message envelopes (JWS/JWE), capability-based security (ocaps), Merkle tree audit trails, WASM sandboxing, and formal verification. Covers CLI dev tool security, mTLS between agents, permission boundaries (least privilege for AI agents), and supply chain security for skills/plugins. Activate on: "agent security", "zero trust agents", "secure agent communication", "capability-based security", "ocap", "signed messages between agents", "agent audit trail", "sandbox agent execution", "agent permissions", "mTLS agents", "cryptographic verification", "agent supply chain", "OWASP agentic", "prove agent did X", "tamper-proof agent logs". NOT for: application-level SAST scanning (use security-auditor), network firewall rules (use infrastructure), SOC2/HIPAA compliance (organizational), or prompt injection defense (use prompt-engineer).

curiositech/windags-skills

Data structures and serialization formats for agent-to-agent communication. Covers message envelopes, structured output schemas, capability declarations, task handoff payloads, error/retry signaling, and context windows as data structures. Deep comparison of A2A protocol, MCP, OpenAI function calling, and LangChain message types. Teaches when to use rigid schemas vs free-form with validation, typed vs untyped, streaming vs batch. Activate on: "agent message format", "agent communication schema", "agent-to-agent protocol", "A2A protocol", "MCP message format", "structured output for agents", "agent interop", "interchange format", "agent serialization", "task handoff format", "capability declaration". NOT for: what agents say to each other (use agent-conversation-protocols), orchestration topology (use multi-agent-coordination), building agent infrastructure (use agentic-infrastructure-2026).

curiositech/windags-skills

Logic-based agent programming language implementing BDI architecture for practical autonomous agent development

curiositech/windags-skills

>- Design AgentSpeak(L)-style BDI agents with context-guarded plans, selection functions, and intention stacks. Use for interruptible autonomy, agent policy, and multi-agent orchestration in dynamic environments. NOT for simple rule engines, static planners, or centralized workflows.

curiositech/windags-skills

Foundational concurrent computation model where actors communicate exclusively through asynchronous message passing

curiositech/windags-skills

license: Apache-2.0 NOT for unrelated tasks outside this domain.

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