Agent skill

Recipe Fullstack Build

by shinpr in shinpr/claude-code-workflows

Execute materialized fullstack task files with layer-aware agent routing

MITAuto-check passedDevelopment

Install Recipe Fullstack Build

skills CLI
$ npx skills add shinpr/claude-code-workflows --skill recipe-fullstack-build -a claude-code

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

GitHub CLI
$ gh skill install shinpr/claude-code-workflows recipe-fullstack-build --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/shinpr/claude-code-workflows.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/recipe-fullstack-build .claude/skills/recipe-fullstack-build && 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/

Facts

Skill name
recipe-fullstack-build
GitHub stars
691
Token cost
~2.7k tokens
SKILL.md length
1,278 words
Files
1
Skills in repo
30
Repo updated
First seen
Licence
MIT

At a glance

Execute materialized fullstack task files with layer-aware agent routing

  • Works in 2 steps: Task Materialization → Verify Generation
  • Development work in your project
  • SKILL.md covers Orchestrator Definition, Required Reference, Execution Protocol and Pre-execution Prerequisites, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Recipe Fullstack Build is an agent skill from shinpr/claude-code-workflows. Execute materialized fullstack task files with layer-aware agent routing

Its SKILL.md is about 2.7k 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: Development workflows for Claude Code that keep broad exploration focused on the outcome you approved. The licence is MIT.

When your agent uses it

  • Development work in your project

Example prompts

  • “/recipe-fullstack-build”

Workflow steps

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

  1. Task Materialization
  2. Verify Generation

What it can do on your machine

Read from SKILL.md and the folder at commit a4ecd62. 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

Recipe Fullstack Build loads about 2.7k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 1,278 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~2.7k

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 shinpr/claude-code-workflows at commit a4ecd62, republished under its MIT licence (© shinpr). 1,278 words, ~2,744 tokens.

Download SKILL.mdSave it as .claude/skills/recipe-fullstack-build/SKILL.md (or your agent's skills folder).
name
recipe-fullstack-build
description
Execute materialized fullstack task files with layer-aware agent routing
disable-model-invocation
true

Explicit User Instruction: The user explicitly instructs and authorizes every subagent call named in this recipe. Execute each applicable call when its prerequisites are met.

Execute Skill: llm-friendly-context before writing Agent prompts, handoffs, or generated artifacts. Execute Skill: subagents-orchestration-guide before making workflow decisions, invoking agents, or resolving findings.

Orchestrator Definition

Core Identity: "I am an orchestrator." (see subagents-orchestration-guide skill)

Local authority gate: Make this recipe's workflow decisions and validate each returned result directly; delegate semantic deliverable production to the named specialist.

Review Resolution Gate [MANDATORY]: Resolve every actionable deliverable-review finding through subagents-orchestration-guide Review Resolution before correction or progression. Before the first finding disposition, read references/review-resolution.md from the loaded subagents-orchestration-guide skill.

Required Reference

MANDATORY: Read references/monorepo-flow.md from subagents-orchestration-guide skill BEFORE proceeding. Follow the Extended Task Cycle and Agent Routing defined there.

Execution Protocol

  1. Invoke named specialists for deliverable production — pass deliverable paths between them and validate their results (see subagents-orchestration-guide "Orchestrator Execution Boundary")
  2. Route agents by task filename pattern (see monorepo-flow.md reference):
    • *-backend-task-* → task-executor + quality-fixer
    • *-frontend-task-* → task-executor-frontend + quality-fixer-frontend
  3. Follow the 4-step task cycle exactly: execute → branch on executor result → quality-fix → commit
  4. Enter autonomous mode when the user provides execution instruction with an existing Work Plan or task files — this IS the batch approval
  5. Scope: Complete consumed task-set execution, post-implementation verification, consumed-task cleanup, and completion reporting in order, or stop autonomous execution at the current phase for a valid user-owned escalation. Advance only when the current phase's stated transition condition is satisfied.

CRITICAL: Run layer-appropriate quality-fixer(s) before every commit.

Work plan: $ARGUMENTS

Pre-execution Prerequisites

Work Plan Resolution

Before any task processing, locate the work plan. Resolution rule:

  1. Use the work plan explicitly supplied in $ARGUMENTS when present.
  2. Otherwise group layer-aware task files by the existing {plan-name}-{backend|frontend}-task-*.md naming contract and map each group to docs/plans/{plan-name}.md.
  3. When task groups produce no candidate, use the only Work Plan under docs/plans/ when exactly one exists.
  4. Select the sole candidate. When multiple candidates remain, present them for selection. When none exists, continue through the missing-prerequisite branch below.
Consumed Task Set

Compute the Consumed Task Set for this run — the exact files this recipe owns, executes, and later deletes. Use the same restricted pattern as Work Plan Resolution:

  1. List task files in docs/plans/tasks/ matching the layer-aware patterns {plan-name}-backend-task-*.md and {plan-name}-frontend-task-*.md for the {plan-name} resolved by Work Plan Resolution. Single-layer tasks are excluded

Every subsequent reference to "task files" in this recipe — Task Generation Decision Flow, Task Execution Cycle iteration, and Final Cleanup — uses this set, not the unrestricted docs/plans/tasks/*.md glob.

Task Generation Decision Flow

Analyze the Consumed Task Set and determine the action required:

StateCriteriaNext Action
Tasks existConsumed Task Set is non-emptyUser's execution instruction serves as batch approval → Enter autonomous execution immediately
No tasks + plan existsConsumed Task Set is empty and the resolved work plan existsUser's execution instruction serves as batch approval → Run task-decomposer
Neither exists + Design Doc existsNo plan, no Consumed Task Set, but docs/design/*.md existsInvoke work-planner to create a work plan, then run document-reviewer (dev-workflows:document-reviewer, doc_type: WorkPlan). Run Review Resolution through correction re-review, its parent requirement or authority exits, and convergence, using work-planner for rerouted corrections; then present the resolved plan for batch approval before task materialization
Neither existsNo plan, no Consumed Task Set, no Design DocReport missing prerequisites to user and stop

Task Materialization Phase (Conditional)

When the Consumed Task Set is empty:

1. Task Materialization

Invoke task-decomposer using Agent tool:

  • subagent_type: "dev-workflows:task-decomposer"
  • description: "Materialize work plan tasks"
  • prompt: "Read work plan at docs/plans/[plan-name].md and output individual single-commit task files in docs/plans/tasks/. Use layer-aware naming: {plan}-backend-task-{n}.md, {plan}-frontend-task-{n}.md from each Work Plan task's Executor lane."
2. Verify Generation

Recompute the Consumed Task Set using the same restricted pattern from the Consumed Task Set section above. When it remains empty, apply Specialist Result Acceptance: validate the invocation and returned artifacts, correct recoverable input or naming errors, and rerun.

Pre-execution Checklist

  • Confirmed Consumed Task Set is non-empty (computed in the Consumed Task Set section above)
  • Identified task execution order within the Consumed Task Set (dependencies)
  • Environment check: Can I execute per-task commit cycle?
    • If commit capability is unavailable → Apply Specialist Result Acceptance before autonomous mode
    • Other environments (tests, quality tools) → Quality agents retain proof limitations while the task cycle continues

Task Execution Cycle (Filename-Pattern-Based)

MANDATORY: For each task in the Consumed Task Set, route agents by task filename pattern from monorepo-flow.md reference.

Agent Routing Table
Filename PatternExecutorQuality Fixer
*-backend-task-*dev-workflows:task-executordev-workflows:quality-fixer
*-frontend-task-*dev-workflows-frontend:task-executor-frontenddev-workflows-frontend:quality-fixer-frontend
Show full SKILL.md (530 more words)Show less
Task Execution (4-Step Cycle)

MANDATORY EXECUTION CYCLE: execute → branch on executor result → quality-fix → commit

For EACH task, YOU MUST:

  1. EXECUTE: invoke Agent tool (subagent_type per routing table) → Record the current HEAD as diffBase, pass task_file: [path], and receive the structured response
  2. BRANCH ON EXECUTOR RESULT:
    • status: "escalation_needed" or "blocked" → Apply subagents-orchestration-guide Specialist Result Acceptance
    • requiresTestReview is true → Identify the changed integration/E2E test files in the current changes and invoke integration-test-reviewer with them as changedTestFiles, plus diffBase, taskFile, prompt-only claims, and mutationEvidence
      • pass → Proceed to step 3
      • blocked → Apply Specialist Result Acceptance
      • needs_revision → Pass qualityIssues unchanged into the Review Resolution Gate; return to step 1 for rerouted corrections and derive convergence from correction re-review prior_feedback_reconciliation
    • status: completed → Proceed to step 3
  3. QUALITY-FIX: Invoke the layer-appropriate quality-fixer with task_file, upstream mutationEvidence, and qualityCommand when available (caller first, otherwise current task)
    • stub_detected → Return to step 1 with the layer quality-fixer's incompleteImplementations array unchanged as the canonical incompleteImplementations field
    • blocked → Apply Specialist Result Acceptance
    • verification_incomplete → Retain the complete result for final retry and proceed to step 4
    • pass → Proceed to step 4
  4. COMMIT: Apply subagents-orchestration-guide Commit Boundary Check, then execute git commit after the layer-appropriate quality-fixer returns pass or verification_incomplete; append its verification trailers for the latter

Use each subagent's semantic result and repository evidence through Specialist Result Acceptance; canonical status fields provide the normal routing shortcut. Proceed to the next task after step 4 and retain any verification limitation with its status kept proof-limited.

Verify task files exist per Pre-execution Checklist, then enter autonomous execution mode. When requirement changes are detected during execution, escalate to the user with the change summary before continuing.

Post-Implementation Review (After All Tasks Complete)

Before invoking post-implementation reviewers, apply subagents-orchestration-guide's retained verification limitation retry with each layer's quality-fixer. Continue with the reviewers after clearing or retaining each result; include only repeated limitations in the completion report.

Resolve all readable Design Docs from the Work Plan, or the Work Plan itself when none exist; missing input blocks review.

Emit one code-reviewer call plus one security-reviewer call in one assistant message, then await both:

  • code-reviewer (subagent_type: "dev-workflows:code-reviewer") → review the completed implementation with the resolved governingDocuments list, the actual files changed by completed tasks as implementationFiles, and the Work Plan path
  • security-reviewer (subagent_type: "dev-workflows:security-reviewer") → review the completed implementation against the same governingDocuments list

Apply subagents-orchestration-guide's Post-Implementation Review status-routing and fix/re-run rules. Present the unified report; proceed to Final Cleanup after the complete review set reaches Review Resolution convergence.

Final Cleanup

Before the completion report, delete the implementation task files this recipe consumed. Their work is committed; docs/plans/ is ephemeral working state and is not retained between recipe runs:

  • Delete every file in the Consumed Task Set
  • Preserve the work plan itself (docs/plans/{plan-name}.md) — the user decides whether to delete it after final review

If task-file deletion fails with a filesystem error, report the failure and continue to the completion report.

Completion Report Contract

Final report must include:

  • Task materialization status
  • Implemented task count, including backend/frontend counts
  • Quality check result
  • Verification limitations that remained after final retry
  • Commit count
  • Cleanup result
  • Declined actionable findings with ID, governing reason, and evidence, when any occurred
  • Escalation or blocking summary, if any

© shinpr, 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 skills/recipe-fullstack-build of shinpr/claude-code-workflows.

Open the folder on GitHubat commit a4ecd62

Compare with similar skills

Recipe Fullstack Build 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.

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Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Recipe Fullstack Build

What does Recipe Fullstack Build do?

Execute materialized fullstack task files with layer-aware agent routing. Recipe Fullstack Build is an agent skill from shinpr/claude-code-workflows.

When should I use Recipe Fullstack Build?

Recipe Fullstack Build fits situations like: development work in your project.

How do I install Recipe Fullstack Build in Claude Code?

Run `npx skills add shinpr/claude-code-workflows --skill recipe-fullstack-build -a claude-code`. Or copy the skill folder (skills/recipe-fullstack-build in shinpr/claude-code-workflows) into .claude/skills/recipe-fullstack-build in your project. Claude Code loads it when a task matches its description.

How do I install Recipe Fullstack Build in Codex?

Run `npx skills add shinpr/claude-code-workflows --skill recipe-fullstack-build -a codex`. Or copy the skill folder (skills/recipe-fullstack-build in shinpr/claude-code-workflows) into .agents/skills/recipe-fullstack-build in your project. Codex loads it when a task matches its description.

Can I use Recipe Fullstack Build 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 shinpr/claude-code-workflows --skill recipe-fullstack-build -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/recipe-fullstack-build, .gemini/skills/recipe-fullstack-build, .github/skills/recipe-fullstack-build and .opencode/skills/recipe-fullstack-build in your project.

What does Recipe Fullstack Build need to run?

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

Does Recipe Fullstack Build 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 Recipe Fullstack Build 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 Recipe Fullstack Build use?

Recipe Fullstack Build 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 Recipe Fullstack Build use?

About 2.7k tokens (SKILL.md is roughly 11k 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 Recipe Fullstack Build?

Skills that share tags, products or a category with Recipe Fullstack Build: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 296k 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.

Who maintains Recipe Fullstack Build?

shinpr (a GitHub user) maintains it in shinpr/claude-code-workflows, which has 691 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on October 1, 2026.

Source: shinpr/claude-code-workflows on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.