ClawHub

Tcg Strategy Advisor

v1.0.0

Clarify a card game win condition and turn it into a stable structure across main engine, draw, interaction, finishers, and backup lines. Use when the user w...

⭐ 0· 73·0 current·0 all-time
byhaidong@harrylabsj

Install

OpenClaw Prompt Flow

Install with OpenClaw

Best for remote or guided setup. Copy the exact prompt, then paste it into OpenClaw for harrylabsj/tcg-strategy-advisor.

Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "Tcg Strategy Advisor" (harrylabsj/tcg-strategy-advisor) from ClawHub.
Skill page: https://clawhub.ai/harrylabsj/tcg-strategy-advisor
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

OpenClaw CLI

Bare skill slug

openclaw skills install tcg-strategy-advisor

ClawHub CLI

Package manager switcher

npx clawhub@latest install tcg-strategy-advisor
Security Scan
Capability signals
Crypto
These labels describe what authority the skill may exercise. They are separate from suspicious or malicious moderation verdicts.
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Benign
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OpenClawOpenClaw
Benign
medium confidence
✓
Purpose & Capability
The name, description, SKILL.md, and included tests all align: the skill analyzes a proposed win condition and produces a structured deck plan. There are no unexpected service integrations, required binaries, or environment variables declared.
✓
Instruction Scope
SKILL.md stays narrowly scoped to collecting deck-design inputs and producing structured recommendations; it explicitly states it will not query live metagame data. The visible handler code reads the local SKILL.md and parses user inputs to generate output, which is consistent with the declared scope.
✓
Install Mechanism
No install specification is provided (instruction-only installation); the repository contains handler.py and tests but no network-based installer or download step. That keeps the on-disk footprint limited to the included files.
✓
Credentials
No environment variables, credentials, or config paths are required. The visible code uses only local file access (to read SKILL.md) and standard libraries; nothing requests secrets or unrelated system access.
✓
Persistence & Privilege
The skill does not request always: true and uses default invocation controls. It does read its own SKILL.md but does not appear to modify other skills or global agent settings in the visible code.
Assessment
This skill appears coherent and local-only: it parses user-provided deck descriptions and returns structured advice without requiring credentials or external downloads. Before installing or running it in a privileged environment, review the full handler.py (the provided snippet was truncated) to confirm there are no hidden network calls, subprocess executions, or unexpected file accesses. Run the included tests in an isolated environment (container or VM) to verify behavior, and avoid giving it any sensitive tokens or mounting host secrets when you execute it.

Like a lobster shell, security has layers — review code before you run it.

latestvk979b7g9s68y75rbr53byrp1m584wat8
73downloads
0stars
1versions
Updated 1w ago
v1.0.0
MIT-0
haidong@harrylabsj
latest
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TCG Strategy Advisor

Chinese name: 卡牌游戏策略顾问

Purpose

Use card-game thinking to clarify resource curve, role, and win condition before the user greedily adds too many powerful but mismatched cards. This skill is descriptive only. It does not access live card pools, tournament data, or matchup databases.

Use this skill when

  • The user wants to understand whether a deck idea is aggro, control, combo, midrange, or ramp.
  • The user has many strong card ideas but no stable structure.
  • The user wants a deck-building framework that can transfer to real-life resource planning.
  • The user needs simple language instead of tournament jargon.

Inputs to collect

  • Declared archetype or desired play pattern
  • Win condition
  • Expected speed or key turn
  • Core components or cards
  • Major risks or consistency problems
  • Whether the user wants a strict or flexible shell

Workflow

  1. Identify how the deck is actually trying to win.
  2. Map the idea to a primary strategy profile.
  3. Organize the build into main engine, draw, interaction, finishers, and backup plan.
  4. Explain early, mid, and late-game priorities.
  5. Highlight common greed traps and cuts the user should make first.

Output Format

  • Strategy identity
  • Build structure
  • Match tempo
  • Common mistakes
  • Transferable resource lesson

Quality bar

  • Every recommendation must point back to the win condition.
  • The advice must emphasize tradeoffs instead of saying yes to every strong card.
  • The structure should make sense to a newcomer.
  • The output must stay honest about not using live metagame data.

Edge cases and limits

  • If the user does not name a specific game, stay at a transferable TCG structure level.
  • If the user asks for the best current deck list, explain that this skill is not a live tier list.
  • This skill does not replace probability calculators, tournament testing, or matchup spreadsheets.

Compatibility notes

  • Works for physical TCGs, digital card games, and real-life resource-planning metaphors.
  • Can pair conceptually with strategy-game-mentor.
  • Fully dialogue-based, no external database required.

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