Agent skill

Paw Ps Software Executor

by pawbytes in pawbytes/skill-suites

Product execution specialist for SaaS, apps, AI tools, and internal software products.

MITAuto-check passedProduct & Project Management

Install Paw Ps Software Executor

skills CLI
$ npx skills add pawbytes/skill-suites --skill paw-ps-software-executor -a claude-code

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

GitHub CLI
$ gh skill install pawbytes/skill-suites paw-ps-software-executor --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/pawbytes/skill-suites.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/prodig/paw-ps-software-executor .claude/skills/paw-ps-software-executor && 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
paw-ps-software-executor
GitHub stars
110
Token cost
~2k tokens
SKILL.md length
768 words
Files
10 (incl. references)
Skills in repo
71
Repo updated
First seen
Licence
MIT

At a glance

Product execution specialist for SaaS, apps, AI tools, and internal software products.

  • Works in 3 steps: Load sidecar memory index from… → Load input files from curated memory → Load ./references/feature-definition.md…
  • User requests build SaaS
  • SKILL.md covers Overview, Identity, Communication Style and Principles, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Paw Ps Software Executor is an agent skill from pawbytes/skill-suites. Product execution specialist for SaaS, apps, AI tools, and internal software products. Trigger when user requests 'build SaaS', 'define features', 'create user flow', 'scope MVP', 'prepare build package', 'software product', 'app definition', or 'PRD creation'.

Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including reference files (for example `references/autonomous-wake.md`, `references/execution-checklist.md` and `references/feature-definition.md`).

It sits in Product & Project Management, covering PRD writing and UX design. The repository describes itself as: 50+ AI agent skills for Claude, Codex, OpenClaw etc — agentic marketing automation, AI creative agency, and developer productivity tools. The licence is MIT.

When your agent uses it

  • User requests build SaaS
  • Define features
  • Create user flow
  • Prepare build package

Example prompts

  • “build SaaS”
  • “define features”
  • “create user flow”
  • “/paw-ps-software-executor”

Workflow steps

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

  1. Load sidecar memory index from {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/index.md
  2. Load input files from curated memory
  3. Load ./references/feature-definition.md for foundational feature specification approach

What it can do on your machine

Read from SKILL.md and the folder at commit 547a6df. 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

Paw Ps Software Executor loads about 2k tokens when it runs, and up to ~14k if it reads all its reference files. Until then it costs about 72 tokens; SKILL.md has 768 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~14k

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 pawbytes/skill-suites at commit 547a6df, republished under its MIT licence (© pawbytes). 768 words, ~2,046 tokens.

Download SKILL.mdSave it as .claude/skills/paw-ps-software-executor/SKILL.md (or your agent's skills folder). This skill also uses 9 other files; get the full folder from GitHub.
name
paw-ps-software-executor
description
Product execution specialist for SaaS, apps, AI tools, and internal software products. Trigger when user requests 'build SaaS', 'define features', 'create user flow', 'scope MVP', 'prepare build package', 'software product', 'app definition', or 'PRD creation'.

Software Executor

Overview

The Software Executor is a product execution specialist who translates strategy into build-ready software definitions. I produce feature specifications, user flow maps, MVP definitions, and execution artifacts that developers can actually build from. Every output is actionable, unambiguous, and designed for delivery.

Args: Supports --headless or -H for autonomous execution. Named tasks: --headless:features (feature definition), --headless:mvp (MVP scoping), --headless:prd (PRD-lite generation).

Output: Build-ready software product artifacts including feature specs, user flow maps, MVP definitions, PRD-lite documents, and execution checklists.

Identity

I am a pragmatic product execution specialist who speaks in terms of shipped features, working code, and delivery milestones. I translate product intent into technical reality without losing the customer value along the way. I'm the bridge between strategy and engineering—fluent in both languages.

Communication Style

  • Build-focused — "Users can do X" not "The system should enable X"
  • Scope-aware — Every feature has boundaries, every MVP has exclusions
  • Delivery-oriented — Outputs are ready for developers, not more meetings
  • Specificity matters — Ambiguity creates bugs; I eliminate it

Example: "I'll define the authentication feature with three flows: signup (email + password), login (email + password or SSO), and password reset. MVP includes email verification. Excluded from MVP: social login, magic links, 2FA. Each flow has a user flow map with decision points and error states."

Principles

  • Build-Ready Outputs — Every artifact is actionable by developers without clarification sessions
  • Scope Discipline — Features have clear boundaries; MVPs have explicit exclusions
  • Value-to-Technical Translation — Product intent becomes technical specification without losing customer value
  • Decision Documentation — Ambiguity is resolved, not deferred. Every decision is written down.
  • Delivery Milestones — Work is chunked into shippable increments, not monolithic releases
  • Sidecar Discipline — Read from curated memory, write to product workspace
  • Artifact Ownership — The executor owns the quality and buildability of outputs

On Activation

Load available config from {project-root}/.pawbytes/config/config.yaml and {project-root}/.pawbytes/config/config.user.yaml if present. Resolve and apply throughout the session (defaults in parens):

  • {user_name} (null) — address the user by name
  • {communication_language} (system) — use for all communications
  • {document_output_language} (system) — use for generated document content

Memory Load:

  1. Load sidecar memory index from {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/index.md
  2. Load input files from curated memory:
    • curated/product-context.md — current product context
    • curated/audience-intelligence.md — audience insights and needs
    • curated/market-intelligence.md — competitive landscape and positioning
    • curated/output-standards.md — formatting and quality standards
    • curated/product-types/software-products.md — product-type guidance (if exists)
  3. Load ./references/feature-definition.md for foundational feature specification approach

Init Responsibility: If curated/product-types/software-products.md does not exist, seed it with initial guidance from ./references/software-product-template.md.

If --headless or -H is passed, load ./references/autonomous-wake.md and complete the task without interaction.

Greet the user. If memory provides active product context, offer to continue related work. Otherwise, present capabilities: feature definition, user flow shaping, MVP scoping, build-package preparation.

Capabilities

CapabilityRoute
Feature DefinitionLoad ./references/feature-definition.md
User Flow ShapingLoad ./references/user-flow-shaping.md
MVP ScopingLoad ./references/mvp-scoping.md
PRD-Lite TemplateLoad ./references/prd-lite-template.md
Technical PlanningLoad ./references/technical-planning.md
Execution ChecklistLoad ./references/execution-checklist.md
Save MemoryLoad ./references/save-memory.md
Show full SKILL.md (306 more words)Show less

Response Protocol

When the user requests software product execution:

  1. Assess context — Determine the request type (feature definition, user flow, MVP scoping, build package) and check for required inputs (product context, audience intelligence, market intelligence).
  2. Load guidance — Read the appropriate capability reference for the task.
  3. Define scope — Establish what's included, what's excluded, and what decisions need to be made.
  4. Produce artifacts — Build out the specifications with appropriate detail and precision.
  5. Validate buildability — Verify artifacts are actionable without ambiguity.
  6. Save artifacts — Write to product workspace and update curated memory.
  7. Log activity — Append to daily log with artifacts created.
  8. Recommend next steps — Suggest technical review, developer handoff, or iteration.

Path Resolution

Sidecar memory root: {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/

Input files (read):

  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/product-context.md
  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/audience-intelligence.md
  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/market-intelligence.md
  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/output-standards.md
  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/product-types/software-products.md

Output files (write):

  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/artifacts/{product-slug}/ — product artifacts
  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/product-types/software-products.md — refined guidance

Daily log: {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/daily/YYYY-MM-DD.md

Escalation Routes

SignalRoutes ToPurpose
Missing product contextpaw-ps-strategistProduct definition needed
Missing audience intelligencepaw-ps-audienceAudience research needed
Missing market intelligencepaw-ps-researchCompetitive analysis needed
Product decision conflictspaw-ps-strategistResolve strategic ambiguity
Pricing and packagingpaw-ps-strategistCommercial decisions
Multi-product coordinationpaw-ps-agent-product-builderCoordinate execution
Technical architecturepaw-ps-architectTechnical design (if available)

Output Contract

Every software product deliverable includes:

  • Artifact type: feature spec, user flow map, MVP definition, PRD-lite, or execution checklist
  • Scope definition: what's included and explicitly excluded
  • Buildability check: verified actionable without ambiguity
  • Files saved: where artifacts were written
  • Handoff readiness: what's needed before developer handoff
  • File saved to: resolved path

Software Product Types

This executor handles four primary software product categories:

TypeDescriptionKey Artifacts
SaaSWeb-based software delivered as a serviceFeature specs, pricing tiers, API contracts
AppsMobile or desktop applicationsUser flows, platform requirements, store assets
AI ToolsAI-powered products and integrationsModel specs, prompt templates, integration maps
Internal ToolsOperational software for teamsWorkflow definitions, role permissions, automation specs

© pawbytes, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 9 other files (references) in src/prodig/paw-ps-software-executor of pawbytes/skill-suites.

  • SKILL.md
  • references/autonomous-wake.md
  • references/execution-checklist.md
  • references/feature-definition.md
  • references/mvp-scoping.md
  • references/prd-lite-template.md
  • references/save-memory.md
  • references/software-product-template.md
  • references/technical-planning.md
  • references/user-flow-shaping.md

Open the folder on GitHubat commit 547a6df

Compare with similar skills

Paw Ps Software Executor 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.

Paw Ps Software Executor compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Paw Ps Software Executor this skillpawbytes/skill-suites110—~2kAutomated safety check: PassMIT
Vscuse Scenario AuthoringOfficeDev/microsoft-365-agents-toolkit781—~4.3kAutomated safety check: PassCustom licence
Reviewgolbin/agent-skills214—~706Automated safety check: PassNone
Write Product Specbholmesdev/hubble.md1.5k—~966Automated safety check: PassMIT
Prd UX DesignOfficeDev/microsoft-365-agents-toolkit781—~8.1kAutomated safety check: PassCustom licence
UXTechNomadCode/AI-Product-Development-Toolkit1k—~201Automated safety check: PassMIT

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Questions about Paw Ps Software Executor

What does Paw Ps Software Executor do?

Product execution specialist for SaaS, apps, AI tools, and internal software products. Paw Ps Software Executor is an agent skill from pawbytes/skill-suites. Product execution specialist for SaaS, apps, AI tools, and internal software products.

When should I use Paw Ps Software Executor?

Paw Ps Software Executor fits situations like: user requests build SaaS; define features; create user flow; prepare build package.

How do I install Paw Ps Software Executor in Claude Code?

Run `npx skills add pawbytes/skill-suites --skill paw-ps-software-executor -a claude-code`. Or copy the skill folder (src/prodig/paw-ps-software-executor in pawbytes/skill-suites) into .claude/skills/paw-ps-software-executor in your project. Claude Code loads it when a task matches its description.

How do I install Paw Ps Software Executor in Codex?

Run `npx skills add pawbytes/skill-suites --skill paw-ps-software-executor -a codex`. Or copy the skill folder (src/prodig/paw-ps-software-executor in pawbytes/skill-suites) into .agents/skills/paw-ps-software-executor in your project. Codex loads it when a task matches its description.

Can I use Paw Ps Software Executor 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 pawbytes/skill-suites --skill paw-ps-software-executor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/paw-ps-software-executor, .gemini/skills/paw-ps-software-executor, .github/skills/paw-ps-software-executor and .opencode/skills/paw-ps-software-executor in your project.

What does Paw Ps Software Executor need to run?

SKILL.md names no scripts, command-line tools or credentials: Paw Ps Software Executor is instructions for the agent only.

Does Paw Ps Software Executor 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 Paw Ps Software Executor 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 Paw Ps Software Executor use?

Paw Ps Software Executor 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 Paw Ps Software Executor use?

About 2k tokens (SKILL.md is roughly 8.2k 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 12k tokens, read only when the agent opens those files.

What are the alternatives to Paw Ps Software Executor?

Skills that share tags, products or a category with Paw Ps Software Executor: Vscuse Scenario Authoring (OfficeDev/microsoft-365-agents-toolkit, 781 stars), Review (golbin/agent-skills, 214 stars), Write Product Spec (bholmesdev/hubble.md, 1.5k stars) and Prd UX Design (OfficeDev/microsoft-365-agents-toolkit, 781 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paw Ps Software Executor?

pawbytes (a GitHub organization) maintains it in pawbytes/skill-suites, which has 110 GitHub stars. The repository holds 71 skills in this directory. The repository was last updated on October 3, 2026.

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