planning

Included with Lifetime

$97 forever

Use when analyzing PRD documents, concept briefs, or feature specs to create implementation plans, breaking work into epics/stories/tasks with dependencies and estimates, or generating PROJECT.md and kanban tracking.

Data & Analytics

What this skill does


# PRD Analyzer & Implementation Planner

Transform product requirements into actionable implementation plans with visual kanban tracking.

## When NOT to Use

- **Revising an existing plan** — Use `plan-revision` for modifying task hierarchies or scope changes
- **Starting implementation** — Use `work-session` to begin executing tasks from a plan
- **Quick one-off tasks** — Use `/quick` for tasks that don't need epic/story/task hierarchy
- **Investigating feasibility** — Use `spike` for time-boxed technical investigation before committing to a plan

## Key Principles

- All outputs go to `.claude/` folder (PROJECT.md, tasks.db, features.json, kanban.html)
- Break work into epic → story → task hierarchy (tasks ≤ 8h each)
- Assign skills to features based on type (api-design, database-design, etc.)
- Flag ambiguities before planning — don't assume unclear requirements

## Quick Start Checklist

1. Read the full PRD/brief document
2. Extract goals, features, constraints, and dependencies
3. Classify priorities (P0-P3) and flag ambiguities
4. Break features into epics → stories → tasks with estimates
5. Generate `.claude/` outputs (PROJECT.md, tasks.db, features.json, kanban.html)
6. Identify first skill to run and hand off

## Skill Assignment

| Feature Type | Primary Skill | Secondary Skills |
|--------------|---------------|------------------|
| REST/GraphQL APIs | api-design | testing-strategy |
| Database schemas | database-design | — |
| SDK/library | sdk-development | — |
| Auth/Security | api-design | — |
| Testing infrastructure | testing-strategy | — |
| AWS/Cloud provisioning | cloud-infrastructure | — |
| Serverless/Lambda | cloud-infrastructure | api-design |
| Container deployment | cloud-infrastructure | ci-cd |

## References

| Reference | Description |
|-----------|-------------|
| [prd-analysis.md](references/prd-analysis.md) | Deep dive on document analysis |
| [task-breakdown.md](references/task-breakdown.md) | Detailed breakdown methodology |
| [kanban-setup.md](references/kanban-setup.md) | Database schema and HTML generation |
| [skill-routing.md](references/skill-routing.md) | Skill assignment logic |
| [project-md-template.md](references/project-md-template.md) | PROJECT.md template and format |
| [database-schema.md](references/database-schema.md) | Full SQLite schema for tasks.db |
| [features-json.md](references/features-json.md) | features.json format and integration points |
| [anti-patterns.md](references/anti-patterns.md) | Analysis, breakdown, and output anti-patterns |
| [design-integration.md](references/design-integration.md) | Design plugin detection, UI/UX workflows, design-first routing |
| [kanban-template.html](references/kanban-template.html) | HTML template for interactive kanban board |

Files: 13

Size: 141.5 KB

Complexity: 61/100

Category: Data & Analytics

Source: https://github.com/srstomp/pokayokay/tree/main/plugins/pokayokay/skills/planning

Related in Data & Analytics

clawarr-suite

Included

Comprehensive management for self-hosted media stacks (Sonarr, Radarr, Lidarr, Readarr, Prowlarr, Bazarr, Overseerr, Plex, Tautulli, SABnzbd, Recyclarr, Unpackerr, Notifiarr, Maintainerr, Kometa, FlareSolverr). Deep library exploration, analytics, dashboard generation, content management, request handling, subtitle management, indexer control, download monitoring, quality profile sync, library cleanup automation, notification routing, collection/overlay management, and media tracker integration (Trakt, Letterboxd, Simkl).

Data & Analyticsscripts

querying-soql

Included

SOQL query generation, optimization, and analysis with 100-point scoring. Use this skill when the user needs SOQL/SOSL authoring or optimization: natural-language-to-query generation, relationship queries, aggregates, query-plan analysis, and performance or safety improvements for Salesforce queries. TRIGGER when: user writes, optimizes, or debugs SOQL/SOSL queries, touches .soql files, or asks about relationship queries, aggregates, or query performance. DO NOT TRIGGER when: bulk data operations (use handling-sf-data), Apex DML logic (use generating-apex), or report/dashboard queries.

Data & Analyticsscripts

app-store-optimization

Included

App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklists, and tracking ranking changes.

Data & Analyticsscripts

habit-flow

Included

AI-powered atomic habit tracker with natural language logging, streak tracking, smart reminders, and coaching. Use for creating habits, logging completions naturally ("I meditated today"), viewing progress, and getting personalized coaching.

Data & Analyticsscripts

app-store-optimization

Included

Data & Analyticsscripts

visualizing-data

Included

Builds dashboards, reports, and data-driven interfaces requiring charts, graphs, or visual analytics. Provides systematic framework for selecting appropriate visualizations based on data characteristics and analytical purpose. Includes 24+ visualization types organized by purpose (trends, comparisons, distributions, relationships, flows, hierarchies, geospatial), accessibility patterns (WCAG 2.1 AA compliance), colorblind-safe palettes, and performance optimization strategies. Use when creating visualizations, choosing chart types, displaying data graphically, or designing data interfaces.

Data & Analyticsscripts