Cabloy Spec Generation
cabloy/cabloy
A skill your agent uses to create or maintain Cabloy suite specifications under repo-specs, including PRD, SRS, PDP/WBS, acceptance planning, progress, and suite ADRs.
Determines which PRD, ADR, UI Spec, Design Doc, and Work Plan a change requires and where each is stored.
$ npx skills add shinpr/ai-coding-project-boilerplate --skill documentation-criteria -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate documentation-criteria --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/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills-en/documentation-criteria .claude/skills/documentation-criteria && 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 "documentation-criteria" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-en/documentation-criteria into .claude/skills/documentation-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "documentation-criteria", 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/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-en/documentation-criteriaType 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 shinpr/ai-coding-project-boilerplate --skill documentation-criteria -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate documentation-criteria --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills-en/documentation-criteria .agents/skills/documentation-criteria && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "documentation-criteria" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-en/documentation-criteria into .agents/skills/documentation-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "documentation-criteria", 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 shinpr/ai-coding-project-boilerplate --skill documentation-criteria -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate documentation-criteria --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills-en/documentation-criteria .cursor/skills/documentation-criteria && 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 "documentation-criteria" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-en/documentation-criteria into .cursor/skills/documentation-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "documentation-criteria", 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/shinpr/ai-coding-project-boilerplate.git --path .claude/skills-en/documentation-criteria--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 shinpr/ai-coding-project-boilerplate --skill documentation-criteria -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate documentation-criteria --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills-en/documentation-criteria .gemini/skills/documentation-criteria && 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 "documentation-criteria" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-en/documentation-criteria into .gemini/skills/documentation-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "documentation-criteria", 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 shinpr/ai-coding-project-boilerplate documentation-criteriaInstalls 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 shinpr/ai-coding-project-boilerplate --skill documentation-criteria -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills-en/documentation-criteria .github/skills/documentation-criteria && 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 "documentation-criteria" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-en/documentation-criteria into .github/skills/documentation-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "documentation-criteria", 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 shinpr/ai-coding-project-boilerplate --skill documentation-criteria -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install shinpr/ai-coding-project-boilerplate documentation-criteria --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/shinpr/ai-coding-project-boilerplate.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills-en/documentation-criteria .opencode/skills/documentation-criteria && 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 "documentation-criteria" agent skill from https://github.com/shinpr/ai-coding-project-boilerplate/tree/main/.claude/skills-en/documentation-criteria into .opencode/skills/documentation-criteria/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "documentation-criteria", 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.
documentation-criteriaDetermines which PRD, ADR, UI Spec, Design Doc, and Work Plan a change requires and where each is stored.
Documentation Criteria is an agent skill from shinpr/ai-coding-project-boilerplate. Determines which PRD, ADR, UI Spec, Design Doc, and Work Plan a change requires and where each is stored. Use when deciding documentation scope or creating or reviewing a technical document.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/adr-template.md`, `references/design-template.md` and `references/plan-template.md`).
It sits in Development, covering Architecture decision records and PRD writing. The repository describes itself as: Agentic coding TypeScript boilerplate for Claude Code: sub-agent workflows with built-in quality checks and context engineering. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 56913a2. 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.
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.
No URLs in SKILL.md.
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.
Documentation Criteria loads about 1.6k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 53 tokens; SKILL.md has 714 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 shinpr/ai-coding-project-boilerplate at commit 56913a2, republished under its MIT licence (© shinpr). 714 words, ~1,564 tokens.
.claude/skills/documentation-criteria/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.This skill owns document routing: which durable decisions the change needs to record and where each document lives. Each template linked from Storage Locations owns the document's content and structural requirements.
Accepted records the currently selected means, not an obligation to retain it: when later evidence supports a smaller sufficient choice, update or supersede the ADR while the confirmed outcome, desired-future requirements, and non-goals remain true. Complete implementation design belongs in the Design Doc| Structural Scale | Base Documents | Creation Order |
|---|---|---|
| Small | None | Direct implementation |
| Medium | Design Doc, Work Plan | Design Doc -> Work Plan |
| Large | PRD, Design Doc, Work Plan | PRD -> Design Doc -> Work Plan |
Add a UI Spec before the Design Doc for frontend/fullstack work when its decisions remain open. Complete any qualifying ADR batch before the Design Doc. A qualifying ADR raises the scale to Medium at minimum.
For a Large change, satisfy the PRD requirement by creating a new PRD, updating the relevant PRD, or creating a reverse PRD when no current product document exists. At any scale, update an existing PRD when the product scope changes.
Classify decision burden rather than repository layout. File count is supporting evidence only.
| Scale | Decision burden |
|---|---|
| Small | One coherent outcome, one evident repository-supported implementation within one responsibility boundary, and no unresolved durable choice |
| Medium | One coherent outcome that coordinates a boundary or contains a potentially durable choice |
| Large | Multiple independently valuable outcomes that require separate design decisions |
A cross-layer implementation can remain Medium when it serves one coherent outcome.
Apply the Choice filter, then the Durability filter, to each technical topic inside the confirmed implementation scope. Check accepted ADRs before creating another record.
Create one ADR for each topic that passes both filters and review the complete batch together. Group choices that must be selected or reconsidered together; separate independently revisitable decisions. Local implementation details and other cheaply reversible choices belong in the Design Doc.
| Document | Path | Naming Convention | Template |
|---|---|---|---|
| PRD | docs/prd/ | [feature-name]-prd.md | prd-template.md |
| ADR | docs/adr/ | ADR-[4-digits]-[title].md | adr-template.md |
| UI Spec | docs/ui-spec/ | [feature-name]-ui-spec.md | ui-spec-template.md |
| UI Spec Assets | docs/ui-spec/assets/{feature-name}/ | Prototype code files | - |
| Design Doc | docs/design/ | [feature-name]-design.md | design-template.md |
| Work Plan | docs/plans/ | YYYYMMDD-{type}-{description}.md | plan-template.md |
| Task File | docs/plans/tasks/ | {plan-name}-task-{NN}.md (backend-only plan); {plan-name}-backend-task-{NN}.md (backend in a mixed-layer plan); {plan-name}-frontend-task-{NN}.md (frontend) | task-template.md |
Every placeholder substituted into a generated directory or file name must be a lowercase ASCII kebab-case slug. Convert non-ASCII source text to that form before constructing the path.
Work Plans are excluded by .gitignore.
Each template defines its document's content, status rules, required evidence, optional diagrams, and completion checks. Load only the template for the document being created or reviewed.
© shinpr, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 6 other files (references) in .claude/skills-en/documentation-criteria of shinpr/ai-coding-project-boilerplate.
Open the folder on GitHubat commit 56913a2
Documentation Criteria 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 |
|---|---|---|---|---|---|---|
| Documentation Criteria this skillshinpr/ai-coding-project-boilerplate | 233 | — | ~1.6k | Automated safety check: Pass | MIT | |
| Cabloy Spec Generationcabloy/cabloy | 982 | — | ~3.2k | Automated safety check: Notes | MIT | |
| Bmad Architectureaj-geddes/claude-code-bmad-skills | 488 | — | ~1.9k | Automated safety check: Notes | Custom licence | |
| Vibe CodingOfficeDev/microsoft-365-agents-toolkit | 781 | — | ~5.5k | Automated safety check: Pass | Custom licence | |
| Documentation Criteriashinpr/claude-code-workflows | 693 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Ad ReviewCorridorTech/PoseCap | 224 | — | ~2.4k | Automated safety check: Notes | Apache-2.0 |
cabloy/cabloy
A skill your agent uses to create or maintain Cabloy suite specifications under repo-specs, including PRD, SRS, PDP/WBS, acceptance planning, progress, and suite ADRs.
aj-geddes/claude-code-bmad-skills
Solutioning skill (Winston, the Architect). An agent skill from aj-geddes/claude-code-bmad-skills.
OfficeDev/microsoft-365-agents-toolkit
End-to-end workflow for agent-driven changes that add or modify behavior in the toolkit packages.
shinpr/claude-code-workflows
Determines which of PRD, ADR, UI Spec, Design Doc, and Work Plan a change requires, and where each is stored.
CorridorTech/PoseCap
Two-axis fresh-context code review per WORKFLOW §10. An agent skill from CorridorTech/PoseCap.
iusztinpaul/squid
Turn a raw feature spec into an approved Tasks Plan — grill the spec, have the Product Architect groom draft tasks (+ optional ADR and glossary additions), then run ONE human gate that decides…
shinpr/ai-coding-project-boilerplate
Selects and designs the smallest integration/E2E test set that proves accepted behavior at an observable boundary.
shinpr/ai-coding-project-boilerplate
Evaluates and optimizes skill file quality using 9 content patterns and 10 editing principles.
shinpr/ai-coding-project-boilerplate
Defines React environment, component architecture, state/data flow, build verification, and frontend non-functional criteria from repository evidence.
shinpr/ai-coding-project-boilerplate
Applies React/TypeScript type safety, component design, and state management rules.
shinpr/ai-coding-project-boilerplate
Selects implementation strategy (vertical slice, horizontal, or hybrid) with risk assessment.
shinpr/ai-coding-project-boilerplate
Coordinates subagents through scale-based planning, approval, implementation, verification, and escalation flows.
Categories
Determines which PRD, ADR, UI Spec, Design Doc, and Work Plan a change requires and where each is stored. Documentation Criteria is an agent skill from shinpr/ai-coding-project-boilerplate. Determines which PRD, ADR, UI Spec, Design Doc, and Work Plan a change requires and where each is stored.
Documentation Criteria fits situations like: deciding documentation scope; reviewing a technical document.
Run `npx skills add shinpr/ai-coding-project-boilerplate --skill documentation-criteria -a claude-code`. Or copy the skill folder (.claude/skills-en/documentation-criteria in shinpr/ai-coding-project-boilerplate) into .claude/skills/documentation-criteria in your project. Claude Code loads it when a task matches its description.
Run `npx skills add shinpr/ai-coding-project-boilerplate --skill documentation-criteria -a codex`. Or copy the skill folder (.claude/skills-en/documentation-criteria in shinpr/ai-coding-project-boilerplate) into .agents/skills/documentation-criteria 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 shinpr/ai-coding-project-boilerplate --skill documentation-criteria -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/documentation-criteria, .gemini/skills/documentation-criteria, .github/skills/documentation-criteria and .opencode/skills/documentation-criteria in your project.
SKILL.md names no scripts, command-line tools or credentials: Documentation Criteria is instructions for the agent only.
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.
Documentation Criteria is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.6k tokens (SKILL.md is roughly 6.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 11k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Documentation Criteria: Cabloy Spec Generation (cabloy/cabloy, 982 stars), Bmad Architecture (aj-geddes/claude-code-bmad-skills, 488 stars), Vibe Coding (OfficeDev/microsoft-365-agents-toolkit, 781 stars) and Documentation Criteria (shinpr/claude-code-workflows, 693 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
shinpr (a GitHub user) maintains it in shinpr/ai-coding-project-boilerplate, which has 233 GitHub stars. The repository holds 41 skills in this directory. The repository was last updated on October 4, 2026.
Source: shinpr/ai-coding-project-boilerplate on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.