smithery/doodledood

define-x-strategy

Creates personalized X/Twitter growth strategy through guided interview. Based on algorithm-derived principles (exposure equation, phase model). Use when asked about X growth, Twitter strategy, building audience, or social media presence.

Installation

$ npx skills add smithery/doodledood --skill define-x-strategy

Similar popular skills

Related neighbors and high-traction skills in the same topics — useful to compare before installing.

Also in this package

Other skills from smithery/doodledood · top by installs.

npx skills add smithery/doodledood

Browse all from smithery/doodledood

More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,463 B
  • docs SUMMARY.md 263 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

User request: $ARGUMENTS

Create personalized X_STRATEGY.md through discovery interview. Strategy is grounded in algorithm-derived optimal growth principles.

Before starting: Read the reference documents in skills/define-x-strategy/references/:

  • OPTIMAL_STRATEGY.md — The growth model and optimization principles
  • ALGORITHM_ANALYSIS.md — Deep dive into X's recommendation algorithm

Discovery log: /tmp/x-strategy-{YYYYMMDD-HHMMSS}.md

The Growth Model (from reference)

E = S × (N × D + R × U_oon)
  • S (Content Score) — multiplies everything; quality > quantity
  • D (Engagement Density) — % of followers who engage; protect this
  • R (Retrieval Alignment) — niche focus; stay consistent
  • N (Followers) — output of optimizing S, D, R; not a goal

Phases (state-based, not time-based):

  1. Build R — Train algorithm via engagement before posting (when N ≈ 0)
  2. Build D — Convert engagement to reciprocal network (when N small)
  3. Maximize S — Optimize content score indefinitely (steady state)

Invariants: Quality > quantity, protect D, niche focus, avoid negative signals.

Workflow

Create todo list (immediately)

- [ ] Read references/; done when model internalized
- [ ] Create discovery log
- [ ] Discover current state→log; done when N, D, R assessed
- [ ] Discover niche positioning→log; done when angle clear
- [ ] Discover goals & constraints→log; done when realistic picture formed
- [ ] (expand: areas as discovery reveals)
- [ ] Assess current phase; done when phase determined with reasoning
- [ ] Refresh: read full discovery log
- [ ] Generate X_STRATEGY.md; done when strategy complete + validated

Create discovery log

# X Strategy Discovery
Started: {timestamp}

## Current State
(populated incrementally)

## Niche & Positioning
(populated incrementally)

## Goals & Constraints
(populated incrementally)

## Phase Assessment
(populated after discovery)

## Refinement
(populated during validation)

Discovery Areas

Discover enough to assess phase and create actionable strategy. Use AskUserQuestion for all questions.

Current State

Understand where they are:

  • Account status (new, growing, established)
  • Engagement patterns (do posts get traction?)
  • Posting history (consistent? strategic? sporadic?)
  • Network quality (followers who engage vs. dead followers)

Niche & Positioning

Understand their angle:

  • Topic/expertise area
  • What makes their perspective unique
  • Target audience on X
  • Competitive landscape in their niche

Goals & Constraints

Understand their reality:

  • What they want from X (audience, leads, networking, brand)
  • Time available (determines viable strategies)
  • Content creation preferences (formats, strengths)
  • Engagement comfort level

Expand as Needed

Discovery Reveals Add Todo For
Multiple potential niches Niche narrowing
Very limited time Minimum viable strategy
Product/service to promote Aligned content strategy
Audience elsewhere Cross-platform leverage
Past failures Failure analysis

Write findings to log after each discovery step.

Phase Assessment

After discovery, determine their phase:

Indicators Phase
N < 100, little engagement history Phase 1: Build R
N small, engaged core forming Phase 2: Build D
N > 500, D > 30%, consistent posting Phase 3: Maximize S

Document reasoning in log.

Output: X_STRATEGY.md

Generate strategy document. Structure should include:

# X Growth Strategy: {Niche/Name}

> **North Star**: {One sentence goal}

## Current State

**Phase**: {1/2/3} — {Phase name}
**Focus**: {Primary variable to optimize}

{Current metrics assessment: N, D, R}

## The Model

{Brief explanation of exposure equation relevant to their phase}

## Your Niche Position

**Topic**: {Their niche}
**Angle**: {Unique perspective}
**Audience**: {Who they're reaching}
**Positioning**: {One sentence: "I help [audience] with [topic] by [angle]"}

## Phase-Appropriate Actions

{Actions specific to their current phase, fitted to their time budget}

{For Phase 1: engagement-focused, no posting yet}
{For Phase 2: posting + reciprocal network building}
{For Phase 3: content optimization + D maintenance}

## Content Strategy

{Based on their strengths and formats}

### Content Principles
{Pillars aligned with their niche and strengths}

### Multi-Signal Checklist
{Engagement triggers relevant to their content type}

### What to Avoid
{Anti-patterns specific to their situation}

## Engagement Strategy

{Time allocation based on their constraints}
{Engagement rules for their phase}

## Metrics to Track

{Phase-appropriate metrics}
{Transition triggers to next phase}

## Anti-Patterns

{Specific to their situation and common mistakes for their phase}

## Quick Reference

{Daily/weekly checklist fitted to their time budget}

---
*Strategy created: {date}*
*Phase: {current}*
*Review when: {transition trigger}*

Adapt structure to what discovery revealed. Add/remove sections as needed.

Validation

Present key sections for validation:

  • Does positioning capture them?
  • Are actions realistic given constraints?
  • Does phase assessment match their experience?

Update based on feedback. Write refinements to log.

Principles

Principle Rule
Reference first Read references/ before interviewing
Write before proceed Log findings after each discovery step
Phase-appropriate Strategy must match current state
Realistic constraints Actions must fit their actual time/capacity
Principle over prescription Give frameworks, not rigid scripts
State-based transitions No time promises; transition when conditions met

Completion

Strategy complete when:

  • Phase correctly assessed with reasoning
  • Actions appropriate for phase and constraints
  • Content strategy aligned with strengths
  • Metrics tied to phase transitions
  • User validates key sections

Write X_STRATEGY.md to current directory.