Planner
penpot/penpot
Read-only planning and architecture analysis — produce a structured implementation plan with task breakdown, acceptance criteria, sizing, and checkpoints.
Generate YAML task breakdown from implementation plan. An agent skill from ariel-frischer/autospec.
$ npx skills add ariel-frischer/autospec --skill autospec-tasks -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ariel-frischer/autospec autospec-tasks --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/ariel-frischer/autospec.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/autospec-tasks .claude/skills/autospec-tasks && 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 "autospec-tasks" agent skill from https://github.com/ariel-frischer/autospec/tree/main/.agents/skills/autospec-tasks into .claude/skills/autospec-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autospec-tasks", 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/ariel-frischer/autospec/tree/main/.agents/skills/autospec-tasksType 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 ariel-frischer/autospec --skill autospec-tasks -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ariel-frischer/autospec autospec-tasks --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ariel-frischer/autospec.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/autospec-tasks .agents/skills/autospec-tasks && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "autospec-tasks" agent skill from https://github.com/ariel-frischer/autospec/tree/main/.agents/skills/autospec-tasks into .agents/skills/autospec-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autospec-tasks", 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 ariel-frischer/autospec --skill autospec-tasks -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ariel-frischer/autospec autospec-tasks --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ariel-frischer/autospec.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/autospec-tasks .cursor/skills/autospec-tasks && 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 "autospec-tasks" agent skill from https://github.com/ariel-frischer/autospec/tree/main/.agents/skills/autospec-tasks into .cursor/skills/autospec-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autospec-tasks", 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/ariel-frischer/autospec.git --path .agents/skills/autospec-tasks--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 ariel-frischer/autospec --skill autospec-tasks -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ariel-frischer/autospec autospec-tasks --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ariel-frischer/autospec.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/autospec-tasks .gemini/skills/autospec-tasks && 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 "autospec-tasks" agent skill from https://github.com/ariel-frischer/autospec/tree/main/.agents/skills/autospec-tasks into .gemini/skills/autospec-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autospec-tasks", 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 ariel-frischer/autospec autospec-tasksInstalls 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 ariel-frischer/autospec --skill autospec-tasks -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ariel-frischer/autospec.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/autospec-tasks .github/skills/autospec-tasks && 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 "autospec-tasks" agent skill from https://github.com/ariel-frischer/autospec/tree/main/.agents/skills/autospec-tasks into .github/skills/autospec-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autospec-tasks", 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 ariel-frischer/autospec --skill autospec-tasks -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ariel-frischer/autospec autospec-tasks --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ariel-frischer/autospec.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/autospec-tasks .opencode/skills/autospec-tasks && 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 "autospec-tasks" agent skill from https://github.com/ariel-frischer/autospec/tree/main/.agents/skills/autospec-tasks into .opencode/skills/autospec-tasks/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "autospec-tasks", 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.
autospec-tasksGenerate YAML task breakdown from implementation plan. An agent skill from ariel-frischer/autospec.
Autospec Tasks is an agent skill from ariel-frischer/autospec. Generate YAML task breakdown from implementation plan.
Its SKILL.md is about 2.5k 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, Task breakdown and User stories. The repository describes itself as: CLI for streamlined spec-driven development. The licence is MIT.
6 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 3381f26. 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 (its code samples are yaml and bash).
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.
Autospec Tasks loads about 2.5k tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 684 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 ariel-frischer/autospec at commit 3381f26, republished under its MIT licence (© ariel-frischer). 684 words, ~2,483 tokens.
.claude/skills/autospec-tasks/SKILL.md (or your agent's skills folder).This Agent Skill is generated from autospec.tasks. When the user invokes "$autospec-tasks" or "/autospec.tasks", load and follow these instructions directly. Treat the text after the skill or command name as "$ARGUMENTS". Do not route back through "autospec tasks"; this skill is the prompt for the stage.
Project specs directory: ./specs
$ARGUMENTSYou MUST consider the user input before proceeding (if not empty).
The following paths have been pre-computed and are available for use:
{{.FeatureDir}}{{.FeatureSpec}}{{.ImplPlan}}{{.AutospecVersion}}{{.CreatedDate}}Load design documents: Read from the feature directory:
{{.ImplPlan}} (plan.yaml) containing:technical_context: tech stack, libraries, constraintsdata_model: entities and relationshipsapi_contracts: API endpoints and schemasresearch_findings: technical decisionsproject_structure: file organization{{.FeatureSpec}} (spec.yaml) containing:user_stories: with priorities (P1, P2, P3)requirements: functional and non-functionalkey_entities: initial entity identificationExecute task generation workflow:
technical_contextuser_storiesdata_model and map to user storiesapi_contracts to user storiesresearch_findings for setup tasksGenerate tasks.yaml: Create the YAML task file with this structure:
tasks:
branch: "<current git branch>"
created: "<today's date YYYY-MM-DD>"
spec_path: "<relative path to spec file>"
plan_path: "<relative path to plan file>"
summary:
total_tasks: <number>
total_phases: <number>
parallel_opportunities: <number of tasks marked parallelizable>
estimated_complexity: "<low|medium|high>"
phases:
- number: 1
title: "Setup"
purpose: "Project initialization and new package structure"
tasks:
- id: "T001"
title: "<task title with file path>"
status: "Pending" # Pending | InProgress | Completed
type: "setup" # setup | implementation | test | documentation | refactor
parallel: false
story_id: null # null for setup/foundational tasks
file_path: "<exact file path to create/modify>"
dependencies: []
acceptance_criteria:
- "<criterion 1>"
- number: 2
title: "Foundational"
purpose: "Core infrastructure that MUST be complete before user stories"
tasks:
- id: "T002"
title: "<task title>"
status: "Pending"
type: "implementation"
parallel: true # Can run in parallel with T003
story_id: null
file_path: "<file path>"
dependencies: ["T001"]
acceptance_criteria:
- "<criterion>"
- number: 3
title: "User Story 1 - <US-001 title from spec>"
purpose: "<goal from user story>"
story_reference: "US-001"
independent_test: "<how to test this story independently>"
tasks:
- id: "T010"
title: "<task with file path>"
status: "Pending"
type: "test" # Tests first per constitution
parallel: true
story_id: "US-001"
file_path: "<test file path>"
dependencies: ["T002"]
acceptance_criteria:
- "<criterion>"
- id: "T011"
title: "<implementation task>"
status: "Pending"
type: "implementation"
parallel: false
story_id: "US-001"
file_path: "<source file path>"
dependencies: ["T010"] # Depends on test being written
acceptance_criteria:
- "<criterion>"
# Continue with more phases for each user story...
- number: <final>
title: "Polish & Cross-Cutting Concerns"
purpose: "Improvements that affect multiple user stories"
tasks:
- id: "T099"
title: "<polish task>"
status: "Pending"
type: "refactor"
parallel: true
story_id: null
file_path: "<file path>"
dependencies: ["<all prior phases>"]
acceptance_criteria:
- "<criterion>"
dependencies:
user_story_order:
- story_id: "US-001"
depends_on: []
blocks: ["US-002"]
- story_id: "US-002"
depends_on: ["US-001"]
blocks: []
phase_order:
- phase: 1
blocks: [2]
- phase: 2
blocks: [3, 4, 5]
parallel_execution:
- phase: 2
parallel_groups:
- tasks: ["T002", "T003"]
rationale: "Different packages, no dependencies"
- phase: 3
parallel_groups:
- tasks: ["T010", "T011"]
rationale: "Test and implementation can be developed together"
implementation_strategy:
mvp_scope:
phases: [1, 2, 3]
description: "Setup + Foundational + User Story 1"
validation: "<how to validate MVP>"
incremental_delivery:
- milestone: "Foundation Ready"
phases: [1, 2]
deliverable: "<what's usable at this point>"
- milestone: "MVP Complete"
phases: [1, 2, 3]
deliverable: "<what's usable>"
_meta:
version: "1.0.0"
generator: "autospec"
generator_version: "{{.AutospecVersion}}"
created: "{{.CreatedDate}}"
artifact_type: "tasks"Write the tasks to {{.FeatureDir}}/tasks.yaml
Validate the artifact:
autospec artifact {{.FeatureDir}}/tasks.yamlReport: Output:
Context for task generation: $ARGUMENTS
The tasks.yaml should be immediately executable - each task must be specific enough that an LLM can complete it without additional context.
CRITICAL: Tasks MUST be organized by user story to enable independent implementation and testing.
Tests are REQUIRED for new behavior whenever practical: Generate test tasks before implementation tasks when the feature changes behavior. Tests may be omitted only for documentation-only changes, configuration-only changes with no behavior change, or explicitly marked spike/prototype work.
Final tasks: Include project-appropriate polish, documentation, validation, or release-note tasks when required by the specification, implementation plan, or project governance.
Every task MUST have:
parallel: true if task can run alongside others (different files, no dependencies)From User Stories (spec) - PRIMARY ORGANIZATION:
From Plan Structure:
From Data Model:
From Setup/Infrastructure:
setup: Project/directory initializationtest: Test file creation (should come before implementation if TDD)implementation: Core feature codedocumentation: README, docs, commentsrefactor: Code improvement without behavior changePending: Not startedInProgress: Currently being worked onCompleted: Finished and verified© 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
Just SKILL.md in .agents/skills/autospec-tasks of ariel-frischer/autospec.
Open the folder on GitHubat commit 3381f26
Autospec Tasks 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 |
|---|---|---|---|---|---|---|
| Autospec Tasks this skillariel-frischer/autospec | 144 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Plannerpenpot/penpot | 61k | — | ~2.7k | Automated safety check: Pass | MPL-2.0 | |
| Speckit Tasksforyourhealth111-pixel/Vibe-Skills | 3.6k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Planning And Task Breakdownskuramatata/my-pi-agent | 114 | — | ~679 | Automated safety check: Pass | None | |
| Wayfinder Planning Mapsrengwu/wayfinder-maps | 137 | — | ~3.5k | Automated safety check: Pass | MIT | |
| Gen Planalibaba/atrex-kernel-agent | 168 | — | ~3.4k | Automated safety check: Pass | MIT |
penpot/penpot
Read-only planning and architecture analysis — produce a structured implementation plan with task breakdown, acceptance criteria, sizing, and checkpoints.
foryourhealth111-pixel/Vibe-Skills
Break down implementation plans into actionable task lists. An agent skill from foryourhealth111-pixel/Vibe-Skills.
skuramatata/my-pi-agent
A skill your agent uses when my-pi-agent work needs requirement slicing, implementation planning, multi-step ordering, dependency decisions, or clear acceptance criteria before coding.
rengwu/wayfinder-maps
Plans work too big for one agent session as a shared map of investigation tickets, resolved one at a time until the route to the destination is clear.
alibaba/atrex-kernel-agent
Generate a structured implementation plan from an evidence draft.
mikeyobrien/ralph-orchestrator
Generates structured .code-task.md files from descriptions or PDD implementation plans.
ariel-frischer/autospec
Analyze cross-artifact consistency and quality in YAML format.
ariel-frischer/autospec
Generate YAML checklist for feature quality validation. An agent skill from ariel-frischer/autospec.
ariel-frischer/autospec
Identify underspecified areas in YAML spec and encode clarifications back into the spec.
ariel-frischer/autospec
Generate or update project constitution in YAML format. An agent skill from ariel-frischer/autospec.
ariel-frischer/autospec
Generate YAML implementation plan from feature specification.
ariel-frischer/autospec
Generate YAML feature specification from natural language description.
Generate YAML task breakdown from implementation plan. An agent skill from ariel-frischer/autospec. Autospec Tasks is an agent skill from ariel-frischer/autospec. Generate YAML task breakdown from implementation plan.
Autospec Tasks fits situations like: tasks that involve Planning; tasks that involve Task breakdown; tasks that involve User stories.
Run `npx skills add ariel-frischer/autospec --skill autospec-tasks -a claude-code`. Or copy the skill folder (.agents/skills/autospec-tasks in ariel-frischer/autospec) into .claude/skills/autospec-tasks in your project. Claude Code loads it when a task matches its description.
Run `npx skills add ariel-frischer/autospec --skill autospec-tasks -a codex`. Or copy the skill folder (.agents/skills/autospec-tasks in ariel-frischer/autospec) into .agents/skills/autospec-tasks 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 ariel-frischer/autospec --skill autospec-tasks -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-tasks, .gemini/skills/autospec-tasks, .github/skills/autospec-tasks and .opencode/skills/autospec-tasks in your project.
SKILL.md names no scripts, command-line tools or credentials: Autospec Tasks 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.
Autospec Tasks is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 9.9k 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 Autospec Tasks: Planner (penpot/penpot, 61k stars), Speckit Tasks (foryourhealth111-pixel/Vibe-Skills, 3.6k stars), Planning And Task Breakdown (skuramatata/my-pi-agent, 114 stars) and Wayfinder Planning Maps (rengwu/wayfinder-maps, 137 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.