Now liveThe Skillselion MCP - thousands of ranked skills, loaded into your agent mid-task. No install.Get it →
shipshitdev avatar

Task Prd Creator

  • 142 installs
  • 31 repo stars
  • Updated August 2, 2026
  • shipshitdev/library

Turn a rough feature idea or ticket into a structured PRD with goals, user stories, scope, and success metrics before engineering estimates or agent execution.

About

Task PRD creator skill in shipshitdev/library converts feature ideas and tickets into scoped PRDs with goals, stories, requirements, and metrics so teams and agents start build with shared intent.

  • Structured PRD from tasks
  • User stories and goals
  • Scope and success metrics
  • Pre-build alignment artifact

Task Prd Creator by the numbers

  • 142 all-time installs (skills.sh)
  • Ranked #581 of 1,879 Documentation skills by installs in the Skillselion catalog
  • Data as of Aug 3, 2026 (Skillselion catalog sync)
npx skills add https://github.com/shipshitdev/library --skill task-prd-creator

Add your badge

Show developers this skill is listed on Skillselion. Paste this into your README.

Listed on Skillselion
Installs142
repo stars31
Last updatedAugust 2, 2026
Repositoryshipshitdev/library

What it does

Turn a rough feature idea or ticket into a structured PRD with goals, user stories, scope, and success metrics before engineering estimates or agent execution.

Files

SKILL.mdMarkdownGitHub ↗

Task & PRD Creator

Write a clear, actionable PRD or task. Output depends on where the user tracks work.

Contract

Inputs:

  • Feature, bug, enhancement, or planning request
  • Destination preference: GitHub issue, local PRD/task file, or both
  • Optional parent issue, labels, assignee, and priority

Outputs:

  • Draft PRD or task body
  • Destination-specific create command or file path
  • Created issue/file URL or path after approval

Creates/Modifies:

  • Local .agents/memory/<kebab-name>.md PRD files only after draft approval
  • GitHub issues/sub-issues only after draft approval

External Side Effects:

  • Reads GitHub issue state
  • May create GitHub issues, sub-issues, or issue branches

Confirmation Required:

  • Always show the draft before creating files or GitHub issues
  • Ask before linking sub-issues or creating issue branches

Delegates To:

  • spec-first when implementation constraints are still unclear
  • tdd when the work should be executed test-first
  • gh-fix-ci for CI failures after implementation
  • roadmap-analyzer for roadmap-level planning
  • cto-advisor for technical strategy and architecture tradeoffs

Step 1: Detect workflow preference

Check in order:

1. User explicitly says "GitHub issue", "local file", or both 2. Check if gh auth status succeeds and a GitHub remote exists → GitHub available 3. If ambiguous, ask: "GitHub issue, local PRD file in .agents/memory/, or both?"

Step 2: Understand the request

Ask only what's missing — don't interrogate if context is clear:

  • What problem does this solve?
  • Who's affected? (user-facing, internal, infra)
  • Any hard constraints or dependencies?
  • Is this part of a larger epic? (→ sub-issue)
  • Priority: critical / high / medium / low

Step 3: Research before writing

  • Read relevant architecture docs if available (.agents/memory/ — look for architecture, summary, or context files)
  • Search codebase for related patterns
  • Check for existing issues on same topic: gh issue list --search "[keyword]"

Step 4: Write the PRD

See references/full-guide.md for the full PRD structure.

A good PRD has:

  • Problem — why this exists, what breaks without it
  • Goal — one sentence, measurable outcome
  • Scope — what's in, what's explicitly out
  • Acceptance criteria — EARS (WHEN/WHILE/WHERE/IF … THE SYSTEM SHALL …), testable, not vague
  • Technical notes — approach, risks, dependencies

Keep it tight. No filler. Acceptance criteria must be EARS-shaped and checkable by a human.

Agent-ready issue rules

When the output is an issue for an autonomous or AFK agent, write it as an agent brief, not a stream-of-consciousness plan:

  • Describe behavior and contracts, not file-by-file instructions.
  • Avoid line numbers and brittle file paths unless the path is itself the contract.
  • Include current behavior, desired behavior, acceptance criteria, and out of scope.
  • Name public interfaces, CLI commands, API shapes, config keys, or data contracts when known.
  • Keep implementation notes as constraints, not a script the agent must follow.

Vertical-slice breakdown

When breaking an epic, PRD, or plan into issues:

  • Prefer thin vertical slices that produce a verifiable outcome.
  • Mark each issue as AFK when an agent can complete it without more human input.
  • Mark each issue as HITL when it needs a human decision, design review, credential, or product judgment.
  • Publish blockers before blocked issues so dependencies can reference real issue IDs.
  • Keep each sub-issue small enough for one focused PR.

Step 5: Output to correct destination

GitHub (primary if available)

New issue:

gh issue create \
  --title "[type]: clear title" \
  --body "$(cat <<'BODY'
[PRD content here]
BODY
)" \
  --label "type:feature" \
  --assignee "@me"

Sub-issue (linked to parent):

# Create sub-issue
gh issue create --title "..." --body "..." 

# Link as sub-issue to parent #N
gh issue develop N --checkout  # only if needed
# Use: gh api repos/{owner}/{repo}/issues/{parent}/sub_issues --method POST -f sub_issue_id={child_id}

Draft PR from issue:

gh issue develop [issue-number] --branch "feature/[name]"

Local files (optional, or when no GitHub)

  • PRD: .agents/memory/[kebab-name].md

See references/full-guide.md for local file templates.

Step 6: Get approval before creating

Show the draft PRD. Wait for "looks good" or edits. Then create.

Rules

  • disable-model-invocation: true → only runs when user explicitly invokes
  • Never create files or GitHub issues without user seeing the draft first
  • Sub-issues should be small enough to ship in one PR
  • If requirements are unclear, write the problem statement first — not the solution
  • If rejecting an enhancement as out of scope, record durable reasoning in .out-of-scope/<concept>.md when the repo uses local out-of-scope memory.

Related

  • spec-first — spec-driven development before writing code
  • tdd — red-green-refactor execution for tasks with clear behavior
  • gh-fix-ci — fix CI on existing PRs
  • roadmap-analyzer — broader roadmap planning
  • cto-advisor — technical strategy and architecture tradeoffs

Related skills

This week in AI coding

Five minutes, every Monday - the tools, releases and tactics for developers.

unsubscribe anytime.