MCP Server Builder
anthropics/skills
Guides the design and implementation of Model Context Protocol servers in TypeScript or Python, from tool naming and error messages to evaluation.
Evaluate technical options with scoring matrix, trigger Gate 4 for significant decisions
Install Tech Divergence
$ npx skills add WellApp-ai/Well --skill tech-divergence -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WellApp-ai/Well tech-divergence --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cursor-rules/skills/tech-divergence .claude/skills/tech-divergence && rm -rf skills-srcUse ~/.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/
Install the "tech-divergence" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/tech-divergence into .claude/skills/tech-divergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-divergence", 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 install https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/tech-divergenceType 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.
$ npx skills add WellApp-ai/Well --skill tech-divergence -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WellApp-ai/Well tech-divergence --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cursor-rules/skills/tech-divergence .agents/skills/tech-divergence && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tech-divergence" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/tech-divergence into .agents/skills/tech-divergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-divergence", 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.
$ npx skills add WellApp-ai/Well --skill tech-divergence -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WellApp-ai/Well tech-divergence --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cursor-rules/skills/tech-divergence .cursor/skills/tech-divergence && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tech-divergence" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/tech-divergence into .cursor/skills/tech-divergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-divergence", 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 https://github.com/WellApp-ai/Well.git --path cursor-rules/skills/tech-divergence--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add WellApp-ai/Well --skill tech-divergence -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WellApp-ai/Well tech-divergence --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cursor-rules/skills/tech-divergence .gemini/skills/tech-divergence && rm -rf skills-srcUse ~/.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/
Install the "tech-divergence" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/tech-divergence into .gemini/skills/tech-divergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-divergence", 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.
$ gh skill install WellApp-ai/Well tech-divergenceInstalls 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).
$ npx skills add WellApp-ai/Well --skill tech-divergence -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .github/skills && cp -r skills-src/cursor-rules/skills/tech-divergence .github/skills/tech-divergence && rm -rf skills-srcUse ~/.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/
Install the "tech-divergence" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/tech-divergence into .github/skills/tech-divergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-divergence", 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.
$ npx skills add WellApp-ai/Well --skill tech-divergence -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WellApp-ai/Well tech-divergence --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cursor-rules/skills/tech-divergence .opencode/skills/tech-divergence && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tech-divergence" agent skill from https://github.com/WellApp-ai/Well/tree/main/cursor-rules/skills/tech-divergence into .opencode/skills/tech-divergence/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-divergence", 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
tech-divergence- GitHub stars
- 345
- Token cost
- ~1.3k tokens
- SKILL.md length
- 379 words
- Files
- 1
- Skills in repo
- 36
- Repo updated
- First seen
- Licence
- MIT
At a glance
Evaluate technical options with scoring matrix, trigger Gate 4 for significant decisions
- Works in 4 steps: Gather Context → Score Each Dimension → Determine Path → …
- Gate 4 for significant decisions
- SKILL.md covers When to Use, Scoring Matrix (8 Dimensions), Phase 1: Gather Context and Phase 2: Score Each Dimension, plus 6 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Tech Divergence is an agent skill from WellApp-ai/Well. Evaluate technical options with scoring matrix, trigger Gate 4 for significant decisions
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows. 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.
When your agent uses it
- Gate 4 for significant decisions
Example prompts
- “/tech-divergence”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
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.
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
Tech Divergence loads about 1.3k tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 379 words of instructions outside code blocks.
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). 379 words, ~1,309 tokens.
Download SKILL.mdSave it as
.claude/skills/tech-divergence/SKILL.md (or your agent's skills folder).- name
- tech-divergence
- description
- Evaluate technical options with scoring matrix, trigger Gate 4 for significant decisions
Tech Divergence Skill
Evaluate technical implementation options using an 8-dimension scoring matrix. Low scores auto-proceed; high scores (>= 4) trigger Gate 4 for human decision.
When to Use
- During Plan Mode Phase 2 (Technical Diverge)
- Before committing to a specific architecture or pattern
- When multiple valid implementation approaches exist
Scoring Matrix (8 Dimensions)
Each dimension scores 0 (auto-proceed) or 1 (adds to checkpoint score):
| Dimension | 0 (Low Risk) | 1 (Checkpoint) |
|---|---|---|
| Pattern | Exists in codebase | New pattern required |
| Scope | Single domain | Cross-domain impact |
| Data Model | Add field to existing | New entity/table |
| Dependencies | Use existing libs | New dependency |
| API Surface | Internal only | Public/breaking change |
| Reversibility | Easy to undo | Requires migration |
| Security | Non-sensitive data | Auth/permissions |
| Performance | Simple CRUD | Cache/queue/optimization |
Phase 1: Gather Context
1.1 Query Pattern Library (Notion)
Check if similar patterns exist:
API-query-database:
database_id: "[PATTERN_LIBRARY_DB_ID]"
filter:
property: "Domain"
select:
equals: "[current domain]"1.2 Search Codebase
SemanticSearch: "How is [similar feature] implemented?"
Grep: "[pattern name]" in relevant directories1.3 Query Context7 (External Libraries)
If new libraries are being considered:
Context7 MCP:
1. resolve-library-id: libraryName = "[library]"
2. get-library-docs: topic = "best practices", mode = "info"Phase 2: Score Each Dimension
For each of the 8 dimensions, evaluate and score:
## Technical Divergence Score
| Dimension | Score | Rationale |
|-----------|-------|-----------|
| Pattern | 0/1 | [Exists/New] |
| Scope | 0/1 | [Single/Cross-domain] |
| Data Model | 0/1 | [Field/Entity] |
| Dependencies | 0/1 | [Existing/New] |
| API Surface | 0/1 | [Internal/Public] |
| Reversibility | 0/1 | [Easy/Migration] |
| Security | 0/1 | [Non-sensitive/Auth] |
| Performance | 0/1 | [CRUD/Optimization] |
| **TOTAL** | [0-8] | |Phase 3: Determine Path
If Score < 4: Auto-Proceed
## Technical Approach: Auto-Proceed
**Score:** [N]/8 (below threshold)
**Selected Approach:** [Describe the approach]
**Rationale:**
- Pattern exists: [reference]
- Low cross-domain impact
- Easy to reverse if needed
Proceeding to Commit Plan...If Score >= 4: Gate 4 (Human Checkpoint)
## Gate 4: Technical Approach Selection
**Score:** [N]/8 (threshold reached)
**Why human input needed:**
- [List dimensions that scored 1]
### Option A: [Name] (Conservative)
**Approach:** [Description]
**Effort:** S
**Risk:** Low
**Trade-off:** [What you give up]
### Option B: [Name] (Balanced)
**Approach:** [Description]
**Effort:** M
**Risk:** Medium
**Trade-off:** [What you give up]
### Option C: [Name] (Bold)
**Approach:** [Description]
**Effort:** L
**Risk:** Higher
**Trade-off:** [What you give up]
---
**Which approach would you like to proceed with?** (A / B / C)
*If you reject an option, I'll invoke decision-capture to record why.*Phase 4: Record Decision
After Gate 4 selection:
- If option rejected, invoke
decision-captureskill - Record selected approach in context for Commit Plan
- Update Pattern Library if new pattern established
Integration with Plan Mode
This skill is invoked during Plan Mode Phase 2:
Plan Mode Flow:
Phase 1: APPETITE →
Phase 2: TECHNICAL DIVERGE (this skill) →
If score < 4: Auto-proceed
If score >= 4: Gate 4 → Human selects
Phase 3: COMMIT PLANShow full SKILL.md (162 more words)Show less
MCP Tools Used
| Tool | Purpose |
|---|---|
| Notion MCP | Query Pattern Library database |
| Context7 MCP | Get library best practices |
| SemanticSearch | Find existing codebase patterns |
| Grep | Search for specific implementations |
Example Scoring
Low Score Example (Auto-Proceed)
Feature: Add a new column to existing table
| Dimension | Score | Rationale |
|---|---|---|
| Pattern | 0 | Column additions done before |
| Scope | 0 | Single domain (tables) |
| Data Model | 0 | Adding field, not entity |
| Dependencies | 0 | Using existing libs |
| API Surface | 0 | Internal only |
| Reversibility | 0 | Easy migration |
| Security | 0 | Non-sensitive data |
| Performance | 0 | Simple CRUD |
| TOTAL | 0 | Auto-proceed |
High Score Example (Gate 4)
Feature: Add real-time collaboration
| Dimension | Score | Rationale |
|---|---|---|
| Pattern | 1 | No WebSocket patterns yet |
| Scope | 1 | Affects auth, tables, workflows |
| Data Model | 1 | New presence entity |
| Dependencies | 1 | Need socket.io |
| API Surface | 1 | New WS endpoints |
| Reversibility | 1 | Would need cleanup migration |
| Security | 1 | User session handling |
| Performance | 1 | Needs connection pooling |
| TOTAL | 8 | Gate 4 required |
Invocation
Invoked automatically by Plan Mode Phase 2, or manually with "use tech-divergence skill".
© WellApp-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in cursor-rules/skills/tech-divergence of WellApp-ai/Well.
Open the folder on GitHubat commit c740217
Compare with similar skills
Tech Divergence 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tech Divergence this skillWellApp-ai/Well | 345 | — | ~1.3k | Automated safety check: Pass | MIT | |
| MCP Server Builderanthropics/skills | 180k | 64 repos | ~2.3k | Automated safety check: Pass | Apache-2.0 | |
| Hook Development for Claude Code Pluginsanthropics/claude-plugins-official | 38k | 11 repos | ~4.1k | Automated safety check: Notes | Apache-2.0 | |
| Using Superpowersfarm-fe/farm | 5.6k | 35 repos | ~1.4k | Automated safety check: Pass | MIT | |
| Executing Plans Inlineobra/superpowers | 296k | 2 repos | ~5.1k | Automated safety check: Pass | MIT | |
| Claude Code Agent Developmentanthropics/claude-plugins-official | 38k | 8 repos | ~2.8k | Automated safety check: Pass | Apache-2.0 |
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Related
Categories
Questions about Tech Divergence
What does Tech Divergence do?
Evaluate technical options with scoring matrix, trigger Gate 4 for significant decisions. Tech Divergence is an agent skill from WellApp-ai/Well.
When should I use Tech Divergence?
Tech Divergence fits situations like: gate 4 for significant decisions.
How do I install Tech Divergence in Claude Code?
Run `npx skills add WellApp-ai/Well --skill tech-divergence -a claude-code`. Or copy the skill folder (cursor-rules/skills/tech-divergence in WellApp-ai/Well) into .claude/skills/tech-divergence in your project. Claude Code loads it when a task matches its description.
How do I install Tech Divergence in Codex?
Run `npx skills add WellApp-ai/Well --skill tech-divergence -a codex`. Or copy the skill folder (cursor-rules/skills/tech-divergence in WellApp-ai/Well) into .agents/skills/tech-divergence in your project. Codex loads it when a task matches its description.
Can I use Tech Divergence 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 tech-divergence -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tech-divergence, .gemini/skills/tech-divergence, .github/skills/tech-divergence and .opencode/skills/tech-divergence in your project.
What does Tech Divergence need to run?
SKILL.md names no scripts, command-line tools or credentials: Tech Divergence is instructions for the agent only.
Does Tech Divergence 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 Tech Divergence 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 Tech Divergence use?
Tech Divergence 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 Tech Divergence use?
About 1.3k tokens (SKILL.md is roughly 5.2k 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 Tech Divergence?
Skills that share tags, products or a category with Tech Divergence: MCP Server Builder (anthropics/skills, 180k stars), Hook Development for Claude Code Plugins (anthropics/claude-plugins-official, 38k stars), Using Superpowers (farm-fe/farm, 5.6k stars) and Executing Plans Inline (obra/superpowers, 296k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tech Divergence?
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 October 7, 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.