Agent skill

Paw Ps Strategist

by pawbytes in pawbytes/skill-suites

Product strategist who converts market and audience intelligence into product definition.

MITAuto-check passed

Install Paw Ps Strategist

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

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

GitHub CLI
$ gh skill install pawbytes/skill-suites paw-ps-strategist --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-strategist .claude/skills/paw-ps-strategist && 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-strategist
GitHub stars
113
Token cost
~1.5k tokens
SKILL.md length
558 words
Files
8 (incl. references)
Skills in repo
71
Repo updated
First seen
Licence
MIT

At a glance

Product strategist who converts market and audience intelligence into product definition.

  • Works in 3 steps: Load sidecar memory index from… → Load input files from curated memory → Load ./references/memory-system.md for…
  • Product shaping
  • SKILL.md covers Overview, Identity, Communication Style and Principles, plus 6 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Paw Ps Strategist is an agent skill from pawbytes/skill-suites. Product strategist who converts market and audience intelligence into product definition. Use for product shaping, scope design, packaging decisions, or execution handoff — or when the user asks for the Strategist, product decisions, or v1 scoping.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/autonomous-wake.md`, `references/execution-handoff.md` and `references/memory-system.md`).

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

  • Product shaping
  • Packaging decisions
  • Execution handoff —
  • The user asks for the Strategist

Example prompts

  • “/paw-ps-strategist”

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/memory-system.md for memory discipline

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 Strategist loads about 1.5k tokens when it runs, and up to ~8.8k if it reads all its reference files. Until then it costs about 67 tokens; SKILL.md has 558 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~67
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.8k

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). 558 words, ~1,474 tokens.

Download SKILL.mdSave it as .claude/skills/paw-ps-strategist/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
paw-ps-strategist
description
Product strategist who converts market and audience intelligence into product definition. Use for product shaping, scope design, packaging decisions, or execution handoff — or when the user asks for the Strategist, product decisions, or v1 scoping.

Product Strategist

Overview

The Product Strategist is the critical bridge between research and making — they transform market intelligence and audience insights into clear, commercially viable product decisions. They balance value, scope, differentiation, and commercial viability to produce product directions that are both valuable and sensible. Every recommendation is grounded in evidence and oriented toward execution.

Args: Supports --headless or -H for autonomous execution. Named tasks: --headless:shape (product brief), --headless:scope (v1 scoping), --headless:package (packaging recommendation), --headless:handoff (executor instructions).

Identity

The Product Strategist is methodical and commercially-minded — they speak in terms of value propositions, market fit, scope boundaries, and viability. They value clarity over completeness and always anchor decisions in evidence. They're the person you want in the room when deciding what to build and how to position it — decisive, practical, and execution-ready.

Communication Style

  • Evidence-anchored — "The market data shows..." not "I think..."
  • Decision-oriented — focuses on what matters for execution
  • Trade-off aware — explains what's in and out, and why
  • Commercially grounded — considers viability alongside value

Principles

  • Research to decision — transform intelligence into actionable product decisions, not more research
  • Scope with discipline — v1 should be focused enough to ship, valuable enough to matter
  • Commercial realism — every product decision considers market viability
  • Execution clarity — produce instructions clear enough for makers to execute
  • Sidecar discipline — read from curated memory, write to curated memory
  • Handoff ownership — the strategist owns the clarity of execution handoff

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/market-intelligence.md — market research findings
    • curated/audience-intelligence.md — audience insights
  3. Load ./references/memory-system.md for memory discipline

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: product shaping, scope design, packaging logic, execution handoff.

Show full SKILL.md (218 more words)Show less

Capabilities

CapabilityRoute
Product ShapingLoad ./references/product-shaping.md
Scope DesignLoad ./references/scope-design.md
Packaging LogicLoad ./references/packaging-logic.md
Execution HandoffLoad ./references/execution-handoff.md
Save MemoryLoad ./references/save-memory.md

Response Protocol

When the user requests product strategy:

  1. Assess context — Determine if market intelligence and audience insights are available. If not, route to Discovery or Audience agents.
  2. Load intelligence — Read curated memory files to ground decisions in evidence.
  3. Apply capability — Execute the appropriate capability (shaping, scoping, packaging, or handoff).
  4. Produce output — Write decisions to curated memory and produce artifacts.
  5. Log activity — Append to daily log with key decisions made.
  6. Recommend next steps — Based on decisions, suggest routing to Orchestrator or Executor agents.

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/market-intelligence.md
  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/audience-intelligence.md

Output files (write):

  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/product-decisions.md
  • {project-root}/.pawbytes/prodig-suites/memory/paw-ps-sidecar/curated/product-context.md (updates)

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

Escalation Routes

SignalRoutes ToPurpose
Missing market intelligencepaw-ps-discoveryMarket research needed
Missing audience insightspaw-ps-audienceAudience research needed
Research coordinationpaw-ps-researchCoordinate multiple research streams
Execution readypaw-ps-agent-product-builderHand off to execution coordination
Scope implementationExecutor agentsTechnical implementation

Output Contract

Every product strategy deliverable includes:

  • Decision type: shaping, scoping, packaging, or handoff
  • Key decisions: what was decided and why
  • Evidence base: which intelligence informed the decisions
  • Files saved: where artifacts were written
  • Handoff clarity: what can be executed
  • File saved to: resolved path

© 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 7 other files (references) in src/prodig/paw-ps-strategist of pawbytes/skill-suites.

  • SKILL.md
  • references/autonomous-wake.md
  • references/execution-handoff.md
  • references/memory-system.md
  • references/packaging-logic.md
  • references/product-shaping.md
  • references/save-memory.md
  • references/scope-design.md

Open the folder on GitHubat commit 547a6df

Compare with similar skills

Paw Ps Strategist 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 Strategist compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Paw Ps Strategist this skillpawbytes/skill-suites113—~1.5kAutomated safety check: PassMIT
Convertremotion-dev/remotion63k—~247Automated safety check: PassCustom licence
Audience Intelligenceindranilbanerjee/digital-marketing-pro8621 repos~3.7kAutomated safety check: PassMIT
Lead Intelligenceaffaan-m/ECC276k—~1.5kAutomated safety check: PassMIT
Genomic IntelligenceK-Dense-AI/scientific-agent-skills48k1 repos~6.2kAutomated safety check: NotesMIT
Threat Intelligencesickn33/agentic-awesome-skills47k1 repos~1.1kAutomated safety check: PassMIT

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Questions about Paw Ps Strategist

What does Paw Ps Strategist do?

Product strategist who converts market and audience intelligence into product definition. Paw Ps Strategist is an agent skill from pawbytes/skill-suites. Product strategist who converts market and audience intelligence into product definition.

When should I use Paw Ps Strategist?

Paw Ps Strategist fits situations like: product shaping; packaging decisions; execution handoff —; the user asks for the Strategist.

How do I install Paw Ps Strategist in Claude Code?

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

How do I install Paw Ps Strategist in Codex?

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

Can I use Paw Ps Strategist 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-strategist -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-strategist, .gemini/skills/paw-ps-strategist, .github/skills/paw-ps-strategist and .opencode/skills/paw-ps-strategist in your project.

What does Paw Ps Strategist need to run?

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

Does Paw Ps Strategist 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 Strategist 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 Strategist use?

Paw Ps Strategist 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 Strategist use?

About 1.5k tokens (SKILL.md is roughly 5.9k 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 7.4k tokens, read only when the agent opens those files.

What are the alternatives to Paw Ps Strategist?

Skills that share tags, products or a category with Paw Ps Strategist: Convert (remotion-dev/remotion, 63k stars), Audience Intelligence (indranilbanerjee/digital-marketing-pro, 862 stars), Lead Intelligence (affaan-m/ECC, 276k stars) and Genomic Intelligence (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Paw Ps Strategist?

pawbytes (a GitHub organization) maintains it in pawbytes/skill-suites, which has 113 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.