Agent skill

Autospec Implement

by ariel-frischer in ariel-frischer/autospec

Execute the implementation plan by processing tasks defined in tasks.yaml.

MITAuto-check: warningsAgent Workflows

Install Autospec Implement

The automated check flagged lines worth reading first. See the safety section below.

skills CLI
$ npx skills add ariel-frischer/autospec --skill autospec-implement -a claude-code

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

GitHub CLI
$ gh skill install ariel-frischer/autospec autospec-implement --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/ariel-frischer/autospec.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/autospec-implement .claude/skills/autospec-implement && 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
autospec-implement
GitHub stars
144
Token cost
~3.6k tokens
SKILL.md length
1,376 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

Execute the implementation plan by processing tasks defined in tasks.yaml.

  • Works in 11 steps: Phase Context Metadata (CRITICAL - Token… → Check checklists status (SKIP if… → Load and analyze the implementation… → …
  • Tasks that involve Planning
  • SKILL.md covers User Input, Execution Boundaries (CRITICAL), Pre-computed Context and Outline
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Autospec Implement is an agent skill from ariel-frischer/autospec. Execute the implementation plan by processing tasks defined in tasks.yaml.

Its SKILL.md is about 3.6k 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, covering Planning. The repository describes itself as: CLI for streamlined spec-driven development. The licence is MIT.

When your agent uses it

  • Tasks that involve Planning

Example prompts

  • “/autospec-implement”

Requirements

  • Node.js
  • Docker

Workflow steps

11 steps, taken from the first numbered list in SKILL.md.

  1. Phase Context Metadata (CRITICAL - Token Optimization)
  2. Check checklists status (SKIP if _context_meta.has_checklists: false)
  3. Load and analyze the implementation context (if NOT using --context-file)
  4. Project Setup Verification
  5. Parse tasks.yaml structure and extract
  6. Execute implementation following the task plan (respect Execution Boundaries above)
  7. Implementation execution rules
  8. Progress tracking and task status updates
  9. Validate tasks.yaml after updates
  10. Completion validation
  11. Report: Output

What it can do on your machine

Read from SKILL.md and the folder at commit 3381f26. 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 bash and yaml).

    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

Autospec Implement loads about 3.6k tokens when it runs. Until then it costs about 23 tokens; SKILL.md has 1,376 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~23
When it runs · the whole SKILL.md, loaded when a task matches
~3.6k

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: warnings

The automated check found patterns that need a careful read before installing.

  • WarningMentions a credentials file (SSH keys, cloud or package-manager tokens)SKILL.md:141
    - Check if .npmrc or package.json exists → create/verify .npmignore (if publishing)
  • NoteMentions a .env fileSKILL.md:149
    _modules/`, `dist/`, `build/`, `*.log`, `.env*`
  • NoteMentions a .env fileSKILL.md:156
    `*.rlib`, `*.prof*`, `.idea/`, `*.log`, `.env*`
  • NoteMentions a .env fileSKILL.md:157
    , `*.class`, `*.jar`, `*.iml`, `*.log`, `.env*`
  • NoteMentions a .env fileSKILL.md:158
    `, `*.exe`, `*.dll`, `.idea/`, `*.log`, `.env*`
  • NoteMentions a .env fileSKILL.md:159
    file`, `config.log`, `.idea/`, `*.log`, `.env*`
  • NoteMentions a .env fileSKILL.md:165
    ockerfile*`, `.dockerignore`, `*.log*`, `.env*`, `coverage/`

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 ariel-frischer/autospec at commit 3381f26, republished under its MIT licence (© ariel-frischer). 1,376 words, ~3,561 tokens.

Download SKILL.mdSave it as .claude/skills/autospec-implement/SKILL.md (or your agent's skills folder).
name
autospec-implement
description
Execute the implementation plan by processing tasks defined in tasks.yaml.

autospec-implement

This Agent Skill is generated from autospec.implement. When the user invokes "$autospec-implement" or "/autospec.implement", load and follow these instructions directly. Treat the text after the skill or command name as "$ARGUMENTS". Do not route back through "autospec implement"; this skill is the prompt for the stage.

Project specs directory: ./specs

User Input

text
$ARGUMENTS

You MUST consider the user input before proceeding (if not empty).

Execution Boundaries (CRITICAL)

FlagBehavior
--phase NExecute ONLY phase N tasks. After completion, output "Phase N complete." and TERMINATE. Do NOT proceed to other phases.
--context-fileUse bundled artifacts from context file. Do NOT separately read files listed in _context_meta.skip_reads.
(no flags)Execute all phases sequentially.

Pre-computed Context

The following paths have been pre-computed and are available for use:

  • FEATURE_DIR: {{.FeatureDir}}
  • TASKS_FILE: {{.TasksFile}}
  • CONSTITUTION_FILE: {{if .ConstitutionFile}}{{.ConstitutionFile}}{{else}}not found{{end}}
  • IS_GIT_REPO: {{.IsGitRepo}}

Outline

  1. Phase Context Metadata (CRITICAL - Token Optimization):

    Check if --context-file was used. If so, parse the _context_meta section FIRST before any other file reads.

    _context_meta Fields:

    • phase_artifacts_bundled: true - Indicates that spec.yaml, plan.yaml, and tasks.yaml (phase-filtered) are already bundled in this context file
    • bundled_artifacts - Lists the artifacts included, such as ["spec.yaml", "plan.yaml", "tasks.yaml (phase-filtered)", "constitution.yaml"]
    • has_governance - Boolean indicating whether project governance is bundled in the governance: section
      • If true: Use the bundled governance: data as the constitution/governance source of truth
      • If false: No constitution was bundled; do not search for a governance file during context-file execution
    • governance_file - Path to the constitution file when governance is bundled
    • has_checklists - Boolean indicating whether a checklists/ directory exists for this feature
      • If false: DO NOT check for, scan, or read from the checklists directory - it doesn't exist, skip step 3 entirely
      • If true: Checklists directory exists, proceed to step 3
    • skip_reads - Explicit list of file paths that are already bundled and MUST NOT be read separately

    CRITICAL INSTRUCTION:

    DO NOT read files listed in skip_reads when _context_meta.phase_artifacts_bundled is true.
    DO NOT check for checklists directory when _context_meta.has_checklists is false.
    DO NOT separately read _context_meta.governance_file when it appears in skip_reads; use the bundled governance section instead.

    Example _context_meta section:

    yaml
    _context_meta:
      phase_artifacts_bundled: true
      bundled_artifacts:
        - spec.yaml
        - plan.yaml
        - tasks.yaml (phase-filtered)
        - constitution.yaml
      has_governance: true
      governance_file: .autospec/constitution.yaml
      has_checklists: false
      skip_reads:
        - specs/my-feature/spec.yaml
        - specs/my-feature/plan.yaml
        - specs/my-feature/tasks.yaml
        - .autospec/constitution.yaml
  2. Check checklists status (SKIP if _context_meta.has_checklists: false):

    • Scan all *.yaml checklist files in the checklists/ directory

    • For each checklist YAML file, parse and count:

      • Total items: All items across all categories (categories[].items[])
      • Passed items: Items where status: "pass"
      • Failed/Pending items: Items where status: "fail" or status: "pending"
    • Create a status table:

      text
      | Checklist     | Total | Passed | Not Passed | Status |
      |---------------|-------|--------|------------|--------|
      | ux.yaml       | 12    | 12     | 0          | PASS   |
      | api.yaml      | 8     | 5      | 3          | FAIL   |
      | security.yaml | 6     | 6      | 0          | PASS   |
    • Calculate overall status:

      • PASS: All checklists have 0 items with status: "fail" or status: "pending"
      • FAIL: One or more checklists have items not in status: "pass"
    • If any checklist is incomplete:

      • Display the table with incomplete item counts
      • STOP and ask: "Some checklists are incomplete. Do you want to proceed with implementation anyway? (yes/no)"
      • Wait for user response before continuing
      • If user says "no" or "wait" or "stop", halt execution
      • If user says "yes" or "proceed" or "continue", proceed to step 4
    • If all checklists are complete:

      • Display the table showing all checklists passed
      • Automatically proceed to step 4
  3. Load and analyze the implementation context (if NOT using --context-file):

    Note: If you are using --context-file, the spec, plan, tasks, and possibly governance are already loaded from the context file. Skip reading files listed in _context_meta.skip_reads and use the bundled data from the spec:, plan:, tasks:, and governance: sections of the context file instead.

    {{if .ConstitutionFile}}- REQUIRED GOVERNANCE: Read {{.ConstitutionFile}} for project principles, non-negotiable constraints, quality standards, and validation requirements before modifying code. Treat these governance rules as binding during implementation.{{else}}- GOVERNANCE: No constitution file was detected in a supported path. Continue using spec, plan, tasks, and local agent instructions.{{end}}

    • REQUIRED: Read tasks.yaml for the complete task list and execution plan
    • REQUIRED: Read plan.yaml for:
      • technical_context: tech stack, dependencies, constraints
      • data_model: entities and relationships
      • api_contracts: API specifications
      • research_findings: technical decisions and rationale
      • project_structure: file organization
    • REQUIRED: Read spec.yaml for:
      • user_stories: acceptance scenarios
      • requirements: functional and non-functional
      • success_criteria: measurable outcomes
  4. Project Setup Verification:

    • REQUIRED: Create/verify ignore files based on actual project setup:

    Detection & Creation Logic:

    • Use {{.IsGitRepo}} to determine if this is a git repository (create/verify .gitignore if true)
    • Check if Dockerfile* exists or Docker in plan.yaml technical_context → create/verify .dockerignore
    • Check if .eslintrc* exists → create/verify .eslintignore
    • Check if eslint.config.* exists → ensure the config's ignores entries cover required patterns
    • Check if .prettierrc* exists → create/verify .prettierignore
    • Check if .npmrc or package.json exists → create/verify .npmignore (if publishing)
    • Check if terraform files (*.tf) exist → create/verify .terraformignore
    • Check if .helmignore needed (helm charts present) → create/verify .helmignore

    If ignore file already exists: Verify it contains essential patterns, append missing critical patterns only If ignore file missing: Create with full pattern set for detected technology

    Common Patterns by Technology (from plan.yaml technical_context):

    • Node.js/JavaScript/TypeScript: node_modules/, dist/, build/, *.log, .env*
    • Python: __pycache__/, *.pyc, .venv/, venv/, dist/, *.egg-info/
    • Java: target/, *.class, *.jar, .gradle/, build/
    • C#/.NET: bin/, obj/, *.user, *.suo, packages/
    • Go: *.exe, *.test, vendor/, *.out
    • Ruby: .bundle/, log/, tmp/, *.gem, vendor/bundle/
    • PHP: vendor/, *.log, *.cache, *.env
    • Rust: target/, debug/, release/, *.rs.bk, *.rlib, *.prof*, .idea/, *.log, .env*
    • Kotlin: build/, out/, .gradle/, .idea/, *.class, *.jar, *.iml, *.log, .env*
    • C++: build/, bin/, obj/, out/, *.o, *.so, *.a, *.exe, *.dll, .idea/, *.log, .env*
    • C: build/, bin/, obj/, out/, *.o, *.a, *.so, *.exe, Makefile, config.log, .idea/, *.log, .env*
    • Swift: .build/, DerivedData/, *.swiftpm/, Packages/
    • R: .Rproj.user/, .Rhistory, .RData, .Ruserdata, *.Rproj, packrat/, renv/
    • Universal: .DS_Store, Thumbs.db, *.tmp, *.swp, .vscode/, .idea/

    Tool-Specific Patterns:

    • Docker: node_modules/, .git/, Dockerfile*, .dockerignore, *.log*, .env*, coverage/
    • ESLint: node_modules/, dist/, build/, coverage/, *.min.js
    • Prettier: node_modules/, dist/, build/, coverage/, package-lock.json, yarn.lock, pnpm-lock.yaml
    • Terraform: .terraform/, *.tfstate*, *.tfvars, .terraform.lock.hcl
    • Kubernetes/k8s: *.secret.yaml, secrets/, .kube/, kubeconfig*, *.key, *.crt
  5. Parse tasks.yaml structure and extract:

    • Phases: Setup, Foundational, User Story phases, Polish
    • Task dependencies: Sequential vs parallel execution from parallel field
    • Task details: id, title, status, type, file_path, dependencies, acceptance_criteria
    • Execution flow: Phase order and task dependency requirements
    • User story mapping: Which tasks belong to which user stories
  6. Execute implementation following the task plan (respect Execution Boundaries above):

    • Respect dependencies: Run sequential tasks in order, parallel tasks can run together
    • Follow TDD approach: Execute test tasks before their corresponding implementation tasks (if tests exist)
    • File-based coordination: Tasks affecting the same files must run sequentially
    • Validation checkpoints: Verify each phase completion before proceeding
  7. Implementation execution rules:

    • Governance first: Apply constitution principles and governance constraints to all code, tests, docs, and validation decisions
    • Setup first: Initialize project structure, dependencies, configuration
    • Foundational next: Complete blocking prerequisites before user stories
    • User stories in order: Complete each story phase before the next
    • Tests before code: If test tasks exist, write tests before implementation
    • Polish last: Cross-cutting concerns and refactoring at the end
  8. Progress tracking and task status updates:

    CRITICAL: You MUST update task status in tasks.yaml as you work. This is non-negotiable.

    Use the autospec update-task command to update task status:

    bash
    autospec update-task <task_id> <status>

    When starting a task:

    bash
    autospec update-task T001 InProgress

    When completing a task:

    bash
    autospec update-task T001 Completed

    If a task is blocked:

    bash
    autospec update-task T001 Blocked

    Valid status values: Pending, InProgress, Completed, Blocked

    Blocking tasks with reasons (preferred method for documenting blockers):

    bash
    # Block a task and document why it's blocked
    autospec task block T001 --reason "Waiting for API access from third-party team"
    
    # Update the reason for an already blocked task
    autospec task block T001 --reason "Updated: API approved, waiting for credentials"

    Unblocking tasks:

    bash
    # Unblock a task (defaults to Pending status)
    autospec task unblock T001
    
    # Unblock and immediately set to InProgress
    autospec task unblock T001 --status InProgress

    Listing tasks by status:

    bash
    # List all tasks
    autospec task list
    
    # List only blocked tasks (shows reasons)
    autospec task list --blocked
    
    # List pending tasks
    autospec task list --pending
    
    # List in-progress tasks
    autospec task list --in-progress
    
    # List completed tasks
    autospec task list --completed
    
    # Combine filters
    autospec task list --blocked --pending

    Implementation workflow for each task:

    1. Mark task as InProgress: autospec update-task T00X InProgress
    2. Implement the task
    3. Verify implementation meets acceptance criteria
    4. Mark task as Completed: autospec update-task T00X Completed
    5. Move to next task

    Handling blocked tasks:

    1. If blocked by external dependency: autospec task block T00X --reason "Reason"
    2. Document the blocker clearly so others understand what needs resolution
    3. When blocker is resolved: autospec task unblock T00X [--status InProgress]
    • Report progress after each completed task
    • Halt execution if any non-parallel task fails
    • For parallel tasks, continue with successful tasks, report failed ones
    • Provide clear error messages with context for debugging
    • Suggest next steps if implementation cannot proceed
  9. Validate tasks.yaml after updates:

Show full SKILL.md (129 more words)Show less
bash
autospec artifact {{.FeatureDir}}/tasks.yaml
  • Ensure artifact schema remains valid after status updates
  • Fix any schema errors (missing fields, invalid types, invalid dependencies) before proceeding
  1. Completion validation:

    • Verify all required tasks have status: "Completed"
    • Check that implemented features match the original specification
    • Validate that tests pass (if tests were generated)
    • Confirm the implementation follows the technical plan
    • Report final status with summary of completed work
  2. Report: Output:

    • Feature directory path
    • Total tasks completed vs total tasks
    • Tasks completed per phase
    • Tasks completed per user story
    • Any failed or skipped tasks with reasons
    • Final validation status
    • Suggested next steps (if any tasks remain)

Context for implementation: $ARGUMENTS

Note: This command assumes tasks.yaml exists with a complete task breakdown. If tasks are incomplete or missing, suggest running $autospec-tasks first to generate the task list.

© ariel-frischer, 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 .agents/skills/autospec-implement of ariel-frischer/autospec.

Open the folder on GitHubat commit 3381f26

Compare with similar skills

Autospec Implement 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.

Autospec Implement compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Autospec Implement this skillariel-frischer/autospec144—~3.6kAutomated safety check: WarnMIT
OpenSpec Guided OnboardingFission-AI/OpenSpec71k1 repos~4.5kAutomated safety check: PassMIT
Paseo Committeegetpaseo/paseo20k1 repos~496Automated safety check: PassCustom licence
Improvefossasia/eventyay-interpretation1.6k10 repos~3.7kAutomated safety check: WarnMIT
Implementation Plan Creatortailcallhq/forgecode7.6k1 repos~1.1kAutomated safety check: PassApache-2.0
Plan Previewu-ichi/reviewable-html-workbench2981 repos~1.8kAutomated safety check: PassMIT

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  • Autospec Constitution

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Questions about Autospec Implement

What does Autospec Implement do?

Execute the implementation plan by processing tasks defined in tasks.yaml. Autospec Implement is an agent skill from ariel-frischer/autospec.yaml.

When should I use Autospec Implement?

Autospec Implement fits situations like: tasks that involve Planning.

How do I install Autospec Implement in Claude Code?

Run `npx skills add ariel-frischer/autospec --skill autospec-implement -a claude-code`. Or copy the skill folder (.agents/skills/autospec-implement in ariel-frischer/autospec) into .claude/skills/autospec-implement in your project. Claude Code loads it when a task matches its description.

How do I install Autospec Implement in Codex?

Run `npx skills add ariel-frischer/autospec --skill autospec-implement -a codex`. Or copy the skill folder (.agents/skills/autospec-implement in ariel-frischer/autospec) into .agents/skills/autospec-implement in your project. Codex loads it when a task matches its description.

Can I use Autospec Implement 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 ariel-frischer/autospec --skill autospec-implement -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/autospec-implement, .gemini/skills/autospec-implement, .github/skills/autospec-implement and .opencode/skills/autospec-implement in your project.

What does Autospec Implement need to run?

SKILL.md names no scripts, command-line tools or credentials: Autospec Implement is instructions for the agent only. Our summary lists: Node.js; Docker.

Does Autospec Implement 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 Autospec Implement safe to install?

Our automated static check of SKILL.md flagged 1 warning(s): mentions a credentials file (ssh keys, cloud or package-manager tokens). Read the flagged lines before installing; the check is not a guarantee either way.

What licence does Autospec Implement use?

Autospec Implement 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 Autospec Implement use?

About 3.6k tokens (SKILL.md is roughly 14k 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 Autospec Implement?

Skills that share tags, products or a category with Autospec Implement: OpenSpec Guided Onboarding (Fission-AI/OpenSpec, 71k stars), Paseo Committee (getpaseo/paseo, 20k stars), Improve (fossasia/eventyay-interpretation, 1.6k stars) and Implementation Plan Creator (tailcallhq/forgecode, 7.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Autospec Implement?

ariel-frischer (a GitHub user) maintains it in ariel-frischer/autospec, which has 144 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on September 28, 2026.

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