Results for “improv”

Set up, improve, or audit analytics tracking and measurement for marketing and product decisions.

Guides a structured requirements workflow from topic intake through brainstorming, spec and plan writing, user review, SRS generation, validation, and improvement reporting.

Guides a structured requirements pipeline from topic intake through brainstorming, spec writing, planning, user review, SRS generation, validation, and improvement reporting.

Guides a structured software requirements specification workflow from topic intake through brainstorming, spec writing, planning, review, SRS generation, validation, and improvement reporting.

Design and improve product onboarding experiences that help users understand, adopt, and succeed quickly, covering assessment, principles, and implementation patterns.

Guides a structured requirements pipeline from topic intake through brainstorming, spec and plan writing, user review, SRS generation, validation, and improvement reporting.

Apply the OKRs framework to structure analysis, guide decision-making, and improve outcomes in product research and strategic planning contexts.

Diagnose and fix retention problems using the Fogg Behavior Model (B=MAP), covering motivation, ability, prompts, and tiny habits.

Apply foundational design principles—affordances, signifiers, constraints, mappings, and feedback—to evaluate and improve product usability, bridging the gulfs of execution and evaluation.

Improves user onboarding and activation by defining the aha moment, designing effective onboarding flows, and building engagement loops to boost retention.

Audits and rewrites user-facing copy across web and mobile codebases, improving clarity, tone, and actionability of labels, errors, CTAs, and empty states.

Guides selection of Qdrant search strategies including hybrid search, reranking, relevance feedback, MMR, and discovery APIs to improve retrieval quality.

Design a detailed value proposition using a 6-part Jobs-to-be-Done template covering who, why, current situation, solution, improved outcome, and alternatives.

Mines a codebase for evidence-backed improvement opportunities, forcing two escalation gates to surface breakthrough ideas, and outputs a ranked portfolio with a plan seed without implementing.

Turns a mature product plan into a rough implementation plan with high-level steps, maturity and verification marks, and a risks section.

Surveys a codebase as a senior advisor and produces prioritized, self-contained implementation plans for other models or agents to execute, without modifying source code.

Workflow 1.5: Bridge between idea discovery and auto review. Reads EXPERIMENT_PLAN.md, implements experiment code, deploys to GPU, collects initial results. Use when user says "实现实验", "implement experiments", "bridge", "从计划到跑实验", "deploy the plan", or has an experiment plan ready to execute.

Create an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities to identify friction points and improve user experience.

Record and analyze post-trade outcomes for trading signals, tracking false positives, missed opportunities, and regime mismatches to generate feedback for signal aggregation and skill improvement.

Design habit-forming product loops using the Hook Model (Trigger, Action, Variable Reward, Investment) to analyze and improve user engagement, retention, and re-engagement strategies.

Uncover customer jobs, pains, and gains in a structured JTBD format to clarify unmet needs, reposition products, or improve discovery and messaging.

Design and improve product user onboarding (first-time user experience) to drive activation and early retention. Produces an Onboarding & Activation Pack (aha moment spec, first 30 seconds + first mile plan, onboarding journey map, experiment backlog, measurement plan). Use for Growth teams.

Operations leadership for scaling companies. Process design, OKR execution, operational cadence, and scaling playbooks. Use when designing operations, setting up OKRs, building processes, scaling teams, analyzing bottlenecks, planning operational cadence, or when user mentions COO, operations, process improvement, OKRs, scaling, operational efficiency, or execution.

Audits and improves course player UX against LMS best practices, covering layout proportions, progressive disclosure, progress psychology, sidebar hierarchy, video sizing, light/dark harmony, sidebar naming, cohort pacing, and AI integration points.

Automatically maintain skill library consistency whenever a structural change occurs — new skill added, skill renamed, skill deprecated, call graph rewired, or category changed. Updates SKILL-INDEX.md, AGENTS.md, README.md, skill graph, docs/prd/PRD.md, and docs/architecture.md. Load when universal-skill-creator finishes creating a skill, split-skill extracts a child, deprecate-skill retires a skill, improve-skills makes a structural change, or the user manually renames or restructures skills. Also triggers on "update the skill index", "sync skill references", "refresh the skill graph", "fix broken skill cross-references", or "update docs after skill change".

Creates decision-focused PRDs and product specs — the kind that make explicit decisions, not document hopes. Make sure to use this skill whenever someone asks to write, review, draft, or improve any product document, including PRDs, feature specs, requirements docs, or product specifications. Trigger even when the user doesn't say "PRD" explicitly — phrases like "write a spec for X", "define requirements for Y", "what should my PRD include", "help me document this feature", or "my spec feels too vague" all apply. Do not attempt to write the PRD directly without consulting this skill. Produces 5-stage PRDs with behavior contracts (15-25 labeled examples for AI features), measurable success metrics with specific thresholds, precise rollout plans with percentages and ramp gates, and antipattern detection. Works for AI features, SaaS, mobile apps, and traditional software.