Phasing logo

Phasing

Organization
WellApp-ai
phasing

Group slices into risk-optimized phases with timeline generation

Overview

PublisherWellApp-ai
RepositoryWell
Skill namephasing
Stars
342
Forks
48
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by WellApp-ai on GitHub. Read the source before you install it.

Installation

Install the Phasing AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/WellApp-ai/Well.git /tmp/Well
mkdir -p .claude/skills
cp -r /tmp/Well/cursor-rules/skills/phasing .claude/skills/phasing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Phasing in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Phasing on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Phasing is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Phasing Skill

Group implementation slices into phases based on combined risk and GTM scores, then generate a visual timeline.

When to Use

  • During Ask mode Phase 2 (CONVERGE), after dependency-mapping and gtm-alignment
  • Before transitioning to Plan mode
  • To generate the final delivery timeline

Instructions

Phase 1: Gather Scores

Collect scores from previous skills:

SliceRisk ScoreGTM Score
[From dependency-mapping][N][From gtm-alignment]

Phase 2: Calculate Combined Score

Final Priority Score = Risk - (GTM x 0.5)

Lower score = ships earlier
SliceRiskGTMFinalRank
#2.2 Invite Flow783.01
#1.1 Switcher14-1.02
#1.2 Members UI432.53

Phase 3: Group into Phases

Apply grouping rules:

PhaseCriteriaTypical Contents
Phase 1P1 + Lowest risk + Serves T1FE-only components, quick wins
Phase 2P2 + Dependencies on P1 completeFE+BE integration, non-breaking
Phase 3P3/P4 + Highest riskContract changes, data model

Grouping Constraints:

  • Respect dependency order (check DSM matrix from dependency-mapping)
  • Each phase should be independently deployable
  • Each phase should serve at least one complete persona tier
  • Keep phases to 3-5 days when possible

Phase 4: Generate Timeline (ASCII)

Use ASCII format grouped by stack. Show only dependencies with arrows. No dates or effort estimates.

ASCII Timeline Format:

TIMELINE: [Feature Name]
═══════════════════════════════════════════════════════════

FRONTEND
├── [Slice name]
├── [Slice name] ───────────────┐
├── [Slice name] ───────────────┼──┐
└── [Slice name] ───────────────┘  │
BACKEND                            │
└── [Slice name] ◄─────────────────┘
INFRASTRUCTURE
└── [Slice name]
INTEGRATION
├── [Slice name]
└── [Slice name]

═══════════════════════════════════════════════════════════
LEGEND:
├── = parallel (no dependency)
──► = dependency (must complete before)

Stack Grouping Rules:

SectionContains
FrontendComponents, pages, client-side logic, Storybook
BackendAPI routes, middleware, services, database
InfrastructureDNS, deployment, environment config
IntegrationCross-cutting features, E2E flows

Dependency Notation:

  • ├── items in same section run in parallel
  • ──► or ◄── arrows show blocking dependencies
  • and show sequential flow between stacks

Phase 6: Document Checkpoints

Phase EndValidationWho Validates
Phase 1Storybook review, design QADesign team
Phase 2E2E on staging, API tests passQA team
Phase 3Production deploy, monitoringOps team

Output Format

Output an executive summary (like DIVERGE), then the ASCII timeline. Do NOT show QA Contract details or Priority Matrix.

markdown
## Value Analysis Complete

### Executive Summary

| Phase | Status | Key Output |
|-------|--------|------------|
| Scope || Full ([N] validated wireframes from Phase 1) |
| State Machines || [N] components, [N] states, [N] transitions |
| QA Contract || [N] Gherkin (G#1-N), [N] acceptance (AC#1-N) |
| Dependencies || [N] slices, [N] blockers, DSM matrix built |
| Design Reuse || [N] existing components leveraged |
| Personas (Notion) || Fetched [N] from DB, T1: [name], T2: [name] |
| GTM Strategy (Notion) || Positioning: "[excerpt...]" |
| Persona Coverage || Phase 1 serves [Tier], Phase 2 serves [Tiers] |
| Phasing || [N] phases, [N] commits total |

### Proposed Timeline

[ASCII timeline with stacks and dependency arrows - no dates/effort]

### Checkpoints

| Phase | Validation | Owner |
|-------|------------|-------|
| 1 | [Validation] | [Team] |
| 2 | [Validation] | [Team] |
| 3 | [Validation] | [Team] |

Invocation

Invoke manually with "use phasing skill" or follow Ask mode Phase 2 (CONVERGE) which references this skill.

Related Skills

  • dependency-mapping - Provides risk scores
  • gtm-alignment - Provides GTM scores

Frequently asked questions

What does the Phasing AI skill do?

Group slices into risk-optimized phases with timeline generation

Why use Phasing on TypingMind?

Because you install it once and use it with any model. Phasing is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Phasing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/phasing. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Phasing?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Phasing?

As many as you like. As long as a model supports skills, you can use Phasing with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Phasing AI skill free?

Yes. It is published on GitHub by WellApp-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇