Agent skill

Phasing

Group slices into risk-optimized phases with timeline generation

MITAuto-check passed

Install Phasing

skills CLI

$ npx skills add WellApp-ai/Well --skill phasing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install WellApp-ai/Well phasing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cursor-rules/skills/phasing .claude/skills/phasing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "phasing" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/phasing into .claude/skills/phasing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phasing", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/phasing

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add WellApp-ai/Well --skill phasing -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install WellApp-ai/Well phasing --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cursor-rules/skills/phasing .agents/skills/phasing && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "phasing" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/phasing into .agents/skills/phasing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phasing", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add WellApp-ai/Well --skill phasing -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install WellApp-ai/Well phasing --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cursor-rules/skills/phasing .cursor/skills/phasing && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "phasing" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/phasing into .cursor/skills/phasing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phasing", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/WellApp-ai/Well.git --path cursor-rules/skills/phasing

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add WellApp-ai/Well --skill phasing -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install WellApp-ai/Well phasing --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cursor-rules/skills/phasing .gemini/skills/phasing && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "phasing" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/phasing into .gemini/skills/phasing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phasing", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install WellApp-ai/Well phasing

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add WellApp-ai/Well --skill phasing -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .github/skills && cp -r skills-src/cursor-rules/skills/phasing .github/skills/phasing && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "phasing" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/phasing into .github/skills/phasing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phasing", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add WellApp-ai/Well --skill phasing -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install WellApp-ai/Well phasing --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cursor-rules/skills/phasing .opencode/skills/phasing && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "phasing" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/phasing into .opencode/skills/phasing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "phasing", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: phasing
GitHub stars: 345
Token cost: ~1.1k tokens
SKILL.md length: 322 words
Files: 1
Skills in repo: 36
Repo updated: Sep 30, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Group slices into risk-optimized phases with timeline generation

Works in 5 steps: Gather Scores → Calculate Combined Score → Group into Phases → …
SKILL.md covers When to Use, Instructions, Output Format and Invocation, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Phasing is an agent skill from WellApp-ai/Well. Group slices into risk-optimized phases with timeline generation

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: No more Sundays on Finance. We build the infrastructure that retrieves, processes, and routes your financial and business data to your FinOps stack, so founders can ship, not… The licence is MIT.

Example prompts

“/phasing”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

Gather Scores
Calculate Combined Score
Group into Phases
Generate Timeline (ASCII)
Document Checkpoints

What it can do on your machine

Read from SKILL.md and the folder at commit c740217. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Phasing loads about 1.1k tokens when it runs. Until then it costs about 18 tokens; SKILL.md has 322 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~18
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from WellApp-ai/Well at commit c740217, republished under its MIT licence (© WellApp-ai). 322 words, ~1,104 tokens.

Download SKILL.mdSave it as .claude/skills/phasing/SKILL.md (or your agent's skills folder).

name: phasing
description: Group slices into risk-optimized phases with timeline generation

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:

Slice	Risk Score	GTM 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

Slice	Risk	GTM	Final	Rank
#2.2 Invite Flow	7	8	3.0	1
#1.1 Switcher	1	4	-1.0	2
#1.2 Members UI	4	3	2.5	3

Phase 3: Group into Phases

Apply grouping rules:

Phase	Criteria	Typical Contents
Phase 1	P1 + Lowest risk + Serves T1	FE-only components, quick wins
Phase 2	P2 + Dependencies on P1 complete	FE+BE integration, non-breaking
Phase 3	P3/P4 + Highest risk	Contract 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:

Section	Contains
Frontend	Components, pages, client-side logic, Storybook
Backend	API routes, middleware, services, database
Infrastructure	DNS, deployment, environment config
Integration	Cross-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 End	Validation	Who Validates
Phase 1	Storybook review, design QA	Design team
Phase 2	E2E on staging, API tests pass	QA team
Phase 3	Production deploy, monitoring	Ops 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.

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

Files

Just SKILL.md in cursor-rules/skills/phasing of WellApp-ai/Well.

Open the folder on GitHubat commit c740217

Compare with similar skills

Phasing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Phasing compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Phasing this skillWellApp-ai/Well	345	—	~1.1k	Automated safety check: Pass	MIT	7 days ago
SQL Optimizationgithub/awesome-copilot	40k	2 repos	~2.3k	Automated safety check: Pass	MIT	today
Agent Performance Optimizerruvnet/ruflo	74k	2 repos	~3.6k	Automated safety check: Pass	MIT	today
Database Optimizerdavila7/claude-code-templates	32k	7 repos	~2.5k	Automated safety check: Pass	MIT	today
Prompt Optimizeraffaan-m/ECC	274k	2 repos	~2.4k	Automated safety check: Pass	MIT	2 days ago
Cost Optimizeruvnet/ruflo	74k	—	~997	Automated safety check: Notes	MIT	today

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Questions about Phasing

What does Phasing do?

Group slices into risk-optimized phases with timeline generation. Phasing is an agent skill from WellApp-ai/Well.

How do I install Phasing in Claude Code?

Run `npx skills add WellApp-ai/Well --skill phasing -a claude-code`. Or copy the skill folder (cursor-rules/skills/phasing in WellApp-ai/Well) into .claude/skills/phasing in your project. Claude Code loads it when a task matches its description.

How do I install Phasing in Codex?

Run `npx skills add WellApp-ai/Well --skill phasing -a codex`. Or copy the skill folder (cursor-rules/skills/phasing in WellApp-ai/Well) into .agents/skills/phasing in your project. Codex loads it when a task matches its description.

Can I use Phasing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add WellApp-ai/Well --skill phasing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/phasing, .gemini/skills/phasing, .github/skills/phasing and .opencode/skills/phasing in your project.

What does Phasing need to run?

SKILL.md names no scripts, command-line tools or credentials: Phasing is instructions for the agent only.

Does Phasing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Phasing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Phasing use?

Phasing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Phasing use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Phasing?

Skills that share tags, products or a category with Phasing: SQL Optimization (github/awesome-copilot, 40k stars), Agent Performance Optimizer (ruvnet/ruflo, 74k stars), Database Optimizer (davila7/claude-code-templates, 32k stars) and Prompt Optimizer (affaan-m/ECC, 274k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Phasing?

WellApp-ai (a GitHub organization) maintains it in WellApp-ai/Well, which has 345 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on September 30, 2026.

Source: WellApp-ai/Well on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Phasing

Facts

At a glance

What it does

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Phasing Skill

When to Use

Instructions

Phase 1: Gather Scores

Phase 2: Calculate Combined Score

Phase 3: Group into Phases

Phase 4: Generate Timeline (ASCII)

Phase 6: Document Checkpoints

Output Format

Invocation

Related Skills

Files

Compare with similar skills

Similar skills

More from WellApp-ai/Well

Questions about Phasing