Generate a comprehensive technical roadmap for building an entire application. Detailed enough that Claude Code can pick up any phase and execute it autonomously for hours.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionroadmapExecute the skills CLI command in your project's root directory to begin installation:
Fetches roadmap from jezweb/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate roadmap. Access via /roadmap in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Generate a comprehensive technical roadmap for building an entire application. Detailed enough that Claude Code can pick up any phase and execute it autonomously for hours.
This is not a high-level strategy doc. It's a delivery blueprint — every phase has concrete tasks, every task is actionable, and the whole thing is ordered so you can build from phase 1 through to launch without backtracking.
The skill needs one of these:
| Input | Where to find it |
|---|---|
| Deep research brief | .jez/artifacts/research-brief-{topic}.md (from /deep-research) |
| Product brief | User describes what they want to build |
| Existing partial app | Read CLAUDE.md + codebase to understand what exists |
| Competitor to clone/improve | URL or product name — skill analyses it |
If the user just says "plan a note-taking app on Cloudflare", that's enough — ask clarifying questions as needed.
Before any technical planning, nail down:
Based on the vision and constraints, lock in the technical stack:
| Layer | Choice | Why |
|-------|--------|-----|
| Frontend | [framework] | [reason] |
| Backend | [framework + runtime] | [reason] |
| Database | [engine + ORM] | [reason] |
| Auth | [provider] | [reason] |
| Storage | [service] | [reason] |
| Search | [method] | [reason] |
| Hosting | [platform] | [reason] |
If a deep-research brief exists, pull the recommendations from there. If not, make opinionated choices based on the user's existing stack (check ~/Documents/ for patterns).
Sketch all tables/collections the full product will need. Not just phase 1 — the complete model. This prevents schema redesigns mid-build.
## Data Model
### [entity]
id, [type]
[field], [type], [constraints]
...
created_at, updated_at
### [entity]
...
### Relationships
- [entity] has many [entity] via [field]
- [entity] belongs to [entity] via [field]
Mark which tables are needed in which phase. Phase 1 might only need 3 of 8 tables, but designing them all upfront avoids migration pain.
This is the core of the roadmap. Each phase must:
For each phase:
## Phase N — [Name]
*Goal: [One sentence — what the user can do after this phase that they couldn't before]*
*Depends on: Phase N-1*
*Estimated effort: [hours/sessions]*
### What's New
[Bullet list of user-visible features]
### Database Changes
[New tables, new columns, migrations needed]
### API Routes
[New endpoints this phase adds]
### Frontend
[New pages, components, UI changes]
### Infrastructure
[New Cloudflare resources, secrets, config]
### Task Checklist
[Actionable tasks grouped by area — these are what Claude Code executes]
#### Setup
- [ ] [task]
#### Data Layer
- [ ] [task]
- [ ] [task]
#### API
- [ ] [task]
#### Frontend
- [ ] [task]
#### Testing & Polish
- [ ] [task]
- [ ] [task]
### Definition of Done
[How to verify this phase is complete — what to test, what to deploy]
The first phase must produce something usable by one person for one purpose. Not a demo, not a skeleton — a working tool that replaces whatever the user currently does (even if it's a spreadsheet or Apple Notes).
Phase 1 scope test: "Would you use this instead of what you use now?" If no, the MVP is too thin.
Typical Phase 1:
The second phase turns the MVP into something you'd show to others:
onboarding-ux skill)What makes this product different from alternatives? Build that here:
Each subsequent phase adds capabilities:
Only if the product is heading toward multi-tenant / SaaS:
Summarise the phases in a table:
| Phase | Goal | New tables | New routes | Sessions |
|-------|------|-----------|-----------|----------|
| 1 | Personal MVP | 3 | 8 | 2-3 |
| 2 | Polish + search | +1 | +4 | 1-2 |
| 3 | AI + MCP | +1 (vectors) | +5 | 2-3 |
| 4 | Team features | +2 | +6 | 2-3 |
| 5 | Integrations | 0 | +4 | 1-2 |
| 6 | Platform | +2 | +8 | 3-4 |
List what's explicitly out of scope and why. This prevents scope creep during execution:
## Deliberately Not Building (v1)
- Real-time collaborative editing (CRDTs) — too complex, Phase 5+ at earliest
- Plugin ecosystem — too much surface area
- Native mobile app — PWA is good enough
- Offline-first with local storage — we're cloud-native
Show how the database grows across phases:
| Table | Phase 1 | Phase 2 | Phase 3 | Phase 4 |
|-------|---------|---------|---------|---------|
| users | ✓ | | | |
| notes | ✓ | +tags col | +embeddings | |
| folders | ✓ | Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
Useful defaults in roadmap — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added roadmap from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for roadmap matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in roadmap — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in roadmap — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
roadmap is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
roadmap fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend roadmap for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
roadmap reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: roadmap is focused, and the summary matches what you get after install.
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