Windags Skills

Mobile analytics and crash reporting expert for Firebase, Sentry, Mixpanel, custom events, and crash symbolication. Activate on: mobile analytics, crash reporting, Firebase Analytics, Sentry mobile, Mixpanel, event tracking, crash symbolication, dSYM upload, ProGuard mapping, session replay. NOT for: server-side logging (use log-aggregation-architect), web analytics (use frontend-architect), A/B testing (use environment-config-manager).

Hierarchical Task Analysis methodology for decomposing complex tasks into structured subtask hierarchies

Turn formally verified infrastructure into developer adoption with talks, blog posts, onboarding docs, venue strategy, and community building for TLA+, model checking, mechanism design, and collateralized contracts. Use when audience, depth, medium, and call-to-action must match technical adoption goals. NOT for academic paper writing, non-technical marketing, social media management, or PR.

Comprehensive survey of LLM-based task planning methods including decomposition, search, and execution strategies

Apply cognitive task analysis to expert work that depends on perceptual cues, branching judgment, and recurring monitoring loops. Use when decomposing expert capability into agent structure, simulation design, or validation interviews. NOT for ordinary step-by-step SOP capture or simple pipelines with no tacit cue layer.

Systematic methodology for eliciting, representing, and operationalizing expert cognitive skills—pattern recognition, situation assessment, mental simulation—from practitioners without requiring research training. Bridges academic rigor and practical usability.

Model organizations as BDI systems with filtered perception, discourse-shaped desires, accommodations, and abstraction-level hierarchy. Use for socio-technical coordination and organizational modeling. NOT for mechanistic workflows, individual psychology, or non-social domains.

Naturalistic causal reasoning for failures and disputed attribution. Use when postmortems or root-cause debates need reframing. NOT for causal inference, fault trees, or fully observed failures.

Diagnose when intuitive judgment, agent confidence, or expert routing can be trusted by classifying environment validity, feedback quality, and task-boundary fit. Use for confidence calibration, agent routing, expertise audits, and escalation design. NOT for deterministic implementation tasks, pure syntax debugging, or domains with explicit verifiable answers.

Analyze hierarchical DAG-like systems by separating undirected substrate from ordering metadata, then classifying diamonds, mixers, shortcuts, and hidden cycle structure. Use for workflow architecture, citation or genealogy DAG comparison, and information-flow diagnosis. NOT for ordinary cycle detection in arbitrary graphs, one-node runtime debugging, or systems with no real ordering constraint.

Apply recognition-primed decision making to agents operating under time pressure, uncertainty, and ambiguous cues. Use for situation assessment, RPD-style action selection, and decision-support design in operational settings. NOT for batch optimization, static planning with full information, or tasks where exhaustive search is cheap and harmless.

Apply rapport-based elicitation to resistant or semi-cooperative humans and agents. Use when coercive prompting or brittle handoffs damage cooperation. NOT for routine cooperative tasks, pure technical debugging, or already reliable exchanges.

Apply practical DAG decomposition, transitive-edge reduction, and reachability indexing to dense dependency graphs. Use when low width and repeated queries justify preprocessing. NOT for cyclic graphs, one-off graph checks, or exact-minimum-chain requirements.

Use for affordances, hierarchical control, nullspace composition, and information-seeking action selection in embodied agents. NOT for pure symbolic planning, generic RL tuning, or domains without sensorimotor grounding.

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

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

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

Comprehensive treatment of algorithmic game theory covering mechanism design, auctions, and equilibrium computation

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

- **Name**: multiagent-systems-shoham-leyton-brown

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

Use for rapport, elicitation, transcript audit, interview design, and disclosure-yield analysis by auditing attention, coordination, and typed yield instead of vague warmth or self-report. NOT for coercive extraction, generic tone polishing, or persuasion tasks that do not depend on genuine disclosure.

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

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

Use for cognitive task analysis, CTA method selection, knowledge capture, tacit expertise routing, and representation design by matching elicitation methods to knowledge type. NOT for generic ontology naming, benchmark-only model evaluation, or ML architecture tuning.

Use when stuck on a hard problem, decomposition is unclear, a related problem is needed, or explicit looking-back review will improve transfer. NOT for routine execution with a known procedure, rote checklist work, or domain questions that need specialized subject matter expertise instead of heuristic search.

Expert in photo content recognition, intelligent curation, and quality filtering. Specializes in face/animal/place recognition, perceptual hashing for de-duplication, screenshot/meme detection, burst photo selection, and quick indexing strategies. Activate on 'face recognition', 'face clustering', 'perceptual hash', 'near-duplicate', 'burst photo', 'screenshot detection', 'photo curation', 'photo indexing', 'NSFW detection', 'pet recognition', 'DINOHash', 'HDBSCAN faces'. NOT for GPS-based location clustering (use event-detection-temporal-intelligence-expert), color palette extraction (use color-theory-palette-harmony-expert), semantic image-text matching (use clip-aware-embeddings), or video analysis/frame extraction.

Expert in temporal event detection, spatio-temporal clustering (ST-DBSCAN), and photo context understanding. Use for detecting photo events, clustering by time/location, shareability prediction, place recognition, event significance scoring, and life event detection. Activate on 'event detection', 'temporal clustering', 'ST-DBSCAN', 'spatio-temporal', 'shareability prediction', 'place recognition', 'life events', 'photo events', 'temporal diversity'. NOT for individual photo aesthetic quality (use photo-composition-critic), color palette analysis (use color-theory-palette-harmony-expert), face recognition implementation (use photo-content-recognition-curation-expert), or basic EXIF timestamp extraction.

Foundational impossibility result proving consensus cannot be guaranteed in asynchronous systems with even one faulty process

Formal framework for modeling intelligent agents through Beliefs, Desires/Goals, and Intentions as distinct mental states with rigorous semantics

Foundational cognitive science theory of human problem-solving through heuristic search in problem spaces

Foundational framework for modeling intelligent agents through Beliefs, Desires, and Intentions with practical implementation strategies under resource constraints

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.

Choose multi-agent architectures using environment-first analysis, coordination pressure, commitment tuning, and knowledge levels. Use for autonomy design, protocol choice, and coordination failures. NOT for single-agent planning, centralized schedulers, or prompt-only swarms.

1. The Fault/Error/Failure Hierarchy NOT for unrelated tasks outside this domain.

Use for bounded reasoning, partial planning, commitment policy, deliberation cost, and reconsideration-threshold design instead of assuming free deliberation. NOT for exhaustive planning, static optimization, or domains where reconsideration cost is irrelevant.