Vercel Composition Patterns
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
A skill your agent uses when creating, modifying, or documenting TypeSpec domain models.
$ npx skills add shep-ai/shep --skill tsp-model -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shep-ai/shep tsp-model --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/shep-ai/shep.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/tsp-model .claude/skills/tsp-model && 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 "tsp-model" agent skill from https://github.com/shep-ai/shep/tree/main/.claude/skills/tsp-model into .claude/skills/tsp-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsp-model", 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/shep-ai/shep/tree/main/.claude/skills/tsp-modelType 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 shep-ai/shep --skill tsp-model -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shep-ai/shep tsp-model --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shep-ai/shep.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/tsp-model .agents/skills/tsp-model && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tsp-model" agent skill from https://github.com/shep-ai/shep/tree/main/.claude/skills/tsp-model into .agents/skills/tsp-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsp-model", 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 shep-ai/shep --skill tsp-model -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shep-ai/shep tsp-model --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shep-ai/shep.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/tsp-model .cursor/skills/tsp-model && 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 "tsp-model" agent skill from https://github.com/shep-ai/shep/tree/main/.claude/skills/tsp-model into .cursor/skills/tsp-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsp-model", 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/shep-ai/shep.git --path .claude/skills/tsp-model--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 shep-ai/shep --skill tsp-model -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shep-ai/shep tsp-model --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shep-ai/shep.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/tsp-model .gemini/skills/tsp-model && 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 "tsp-model" agent skill from https://github.com/shep-ai/shep/tree/main/.claude/skills/tsp-model into .gemini/skills/tsp-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsp-model", 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 shep-ai/shep tsp-modelInstalls 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 shep-ai/shep --skill tsp-model -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shep-ai/shep.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/tsp-model .github/skills/tsp-model && 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 "tsp-model" agent skill from https://github.com/shep-ai/shep/tree/main/.claude/skills/tsp-model into .github/skills/tsp-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsp-model", 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 shep-ai/shep --skill tsp-model -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shep-ai/shep tsp-model --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shep-ai/shep.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/tsp-model .opencode/skills/tsp-model && 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 "tsp-model" agent skill from https://github.com/shep-ai/shep/tree/main/.claude/skills/tsp-model into .opencode/skills/tsp-model/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tsp-model", 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.
tsp-modelA skill your agent uses when creating, modifying, or documenting TypeSpec domain models.
Tsp Model is an agent skill from shep-ai/shep. Use when creating, modifying, or documenting TypeSpec domain models. Triggers include adding new entities, value objects, enums, extending base types, or when asked to create a "tsp model", "domain model", "entity", or work with files in the tsp/ directory. Part of the Shep autonomous SDLC platform — https://shep.bot
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.
It sits in Development. The repository describes itself as: Ship features 10x faster. Built In Auto: Memory, K8S Agent & Security (SDD+SDLC) . 😇. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 0304cfc. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
pnpmFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pnpm, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tsp Model loads about 1.1k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 190 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.
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.
The full file from shep-ai/shep at commit 0304cfc, republished under its MIT licence (© shep-ai). 190 words, ~1,082 tokens.
.claude/skills/tsp-model/SKILL.md (or your agent's skills folder).Generate TypeSpec domain models following this project's conventions for Clean Architecture entities.
tsp/
├── common/ # Base types, scalars, enums
│ ├── base.tsp # BaseEntity, SoftDeletableEntity, AuditableEntity
│ ├── scalars.tsp # UUID scalar type
│ ├── ask.tsp # Askable interface pattern
│ └── enums/ # One file per enum
├── domain/ # Domain entities
│ ├── entities/ # One file per entity
│ └── value-objects/# Embedded value objects
├── agents/ # Agent system models
└── deployment/ # Deployment configuration modelsOne model per file - Each entity/enum/value-object gets its own file.
Naming:
kebab-case.tsp (e.g., action-item.tsp)PascalCase (e.g., ActionItem)PascalCase with values in PascalCase (e.g., TaskStatus.InProgress)Every .tsp file MUST follow this structure:
/**
* @module Shep.Domain.Entities.<EntityName>
*
* Brief description of the entity's purpose.
*
* ## Entity Relationships (if applicable)
* ASCII diagram showing relationships
*
* @see docs/concepts/<relevant-doc>.md
* @see <related-entity>.tsp
*/
import "../../common/base.tsp";
import "../../common/scalars.tsp";
// other imports...
/**
* Entity Name
*
* Detailed description.
*
* ## Properties
*
* | Property | Type | Required | Description |
* |----------|------|----------|-------------|
* | ... | ... | ... | ... |
*
* @example
* ```json
* { ... }
* ```
*/
@doc("One-line description for OpenAPI")
model EntityName extends BaseEntity {
/**
* Property description.
* @example "example value"
*/
@doc("One-line property description")
propertyName: PropertyType;
}Choose the right base:
| Base Type | Use When |
|---|---|
BaseEntity | Standard entity with id, createdAt, updatedAt |
SoftDeletableEntity | Entity that can be soft-deleted (adds deletedAt) |
AuditableEntity | Entity needing audit trail (adds createdBy, updatedBy) |
/**
* @module Shep.Common.Enums.<EnumName>
*/
/**
* Enum description
*/
@doc("One-line enum description")
enum EnumName {
@doc("Description of this value")
ValueOne,
@doc("Description of this value")
ValueTwo,
}@module, relationships, @see links@example tags@doc() decorator on every model and property (for OpenAPI)After creating/modifying TypeSpec:
pnpm tsp:compile # Verify compilation
pnpm tsp:format # Format TypeSpec files| Task | Location | Example |
|---|---|---|
| New entity | tsp/domain/entities/<name>.tsp | feature.tsp |
| New enum | tsp/common/enums/<name>.tsp | lifecycle.tsp |
| New value object | tsp/domain/value-objects/<name>.tsp | gantt.tsp |
| Agent model | tsp/agents/<name>.tsp | feature-agent.tsp |
@doc() decorators - Required for OpenAPI generation@example with realistic JSON© shep-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/tsp-model of shep-ai/shep.
Open the folder on GitHubat commit 0304cfc
Tsp Model 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 |
|---|---|---|---|---|---|---|
| Tsp Model this skillshep-ai/shep | 264 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Vercel Composition Patternssupabase/supabase | 111k | 58 repos | ~726 | Automated safety check: Pass | MIT | |
| Finishing a Development Branchobra/superpowers | 297k | 5 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Typescript Advanced Typesrolling-scopes/rsschool-app | 10k | 25 repos | ~4.2k | Automated safety check: Pass | MPL-2.0 | |
| PR Babysitteropeninterpreter/openinterpreter | 69k | 3 repos | ~4.2k | Automated safety check: Pass | Apache-2.0 | |
| Code Review ChecklistshareAI-lab/learn-claude-code | 78k | 5 repos | ~1.1k | Automated safety check: Pass | MIT |
supabase/supabase
React composition patterns that scale. An agent skill from supabase/supabase.
obra/superpowers
Walks the last step of a branch: confirm tests pass, detect the git environment, ask how to integrate, carry out your choice and clean up the worktree.
rolling-scopes/rsschool-app
Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications.
openinterpreter/openinterpreter
Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.
shareAI-lab/learn-claude-code
Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.
onyx-dot-app/onyx
Iteratively improves a PR (GitHub), MR (GitLab), or shelved changelist (Perforce) until Greptile gives it a 5/5 confidence score with zero unresolved comments.
shep-ai/shep
React Flow (@xyflow/react) for workflow visualization with custom nodes and edges.
shep-ai/shep
A skill your agent uses when a large body of work (a version milestone, an epic, a roadmap, a set of PRDs/design docs) needs to be broken into parallel workstreams and executed with the shep CLI.
shep-ai/shep
A skill your agent uses when making architectural decisions, planning features, designing new components, reviewing PRs, or validating that proposed changes align with Clean Architecture principles.
shep-ai/shep
Cross-validate documentation and artifacts across the codebase for consistency, conflicts, and contradictions.
Categories
A skill your agent uses when creating, modifying, or documenting TypeSpec domain models. Tsp Model is an agent skill from shep-ai/shep. Use when creating, modifying, or documenting TypeSpec domain models.
Tsp Model fits situations like: documenting TypeSpec domain models; include adding new entities; extending base types; asked to create a tsp model.
Run `npx skills add shep-ai/shep --skill tsp-model -a claude-code`. Or copy the skill folder (.claude/skills/tsp-model in shep-ai/shep) into .claude/skills/tsp-model in your project. Claude Code loads it when a task matches its description.
Run `npx skills add shep-ai/shep --skill tsp-model -a codex`. Or copy the skill folder (.claude/skills/tsp-model in shep-ai/shep) into .agents/skills/tsp-model in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add shep-ai/shep --skill tsp-model -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tsp-model, .gemini/skills/tsp-model, .github/skills/tsp-model and .opencode/skills/tsp-model in your project.
Going by SKILL.md and its folder, Tsp Model needs the command-line tools its instructions call (pnpm).
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.
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.
Tsp Model is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.1k tokens (SKILL.md is roughly 4.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Tsp Model: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
shep-ai (a GitHub organization) maintains it in shep-ai/shep, which has 264 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 8, 2026.
Source: shep-ai/shep on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.