Getxapi Connect
LeoYeAI/openclaw-marketing-skills
Connect GetXAPI to pull public X/Twitter marketing signals into OpenClaw workflows.
Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals.
Install X Founder Operations
$ npx skills add LeoYeAI/openclaw-master-skills --skill x-founder-operations -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills x-founder-operations --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/x-founder-operations .claude/skills/x-founder-operations && rm -rf skills-srcUse ~/.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/
Install the "x-founder-operations" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/x-founder-operations into .claude/skills/x-founder-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "x-founder-operations", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/x-founder-operationsType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill x-founder-operations -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills x-founder-operations --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/x-founder-operations .agents/skills/x-founder-operations && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "x-founder-operations" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/x-founder-operations into .agents/skills/x-founder-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "x-founder-operations", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill x-founder-operations -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills x-founder-operations --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/x-founder-operations .cursor/skills/x-founder-operations && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "x-founder-operations" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/x-founder-operations into .cursor/skills/x-founder-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "x-founder-operations", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/x-founder-operations--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill x-founder-operations -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills x-founder-operations --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/x-founder-operations .gemini/skills/x-founder-operations && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "x-founder-operations" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/x-founder-operations into .gemini/skills/x-founder-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "x-founder-operations", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills x-founder-operationsInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill x-founder-operations -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/x-founder-operations .github/skills/x-founder-operations && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "x-founder-operations" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/x-founder-operations into .github/skills/x-founder-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "x-founder-operations", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill x-founder-operations -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills x-founder-operations --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/x-founder-operations .opencode/skills/x-founder-operations && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "x-founder-operations" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/x-founder-operations into .opencode/skills/x-founder-operations/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "x-founder-operations", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
x-founder-operations- GitHub stars
- 2.2k
- Token cost
- ~4.6k tokens
- SKILL.md length
- 1,606 words
- Files
- 27 (incl. scripts, references)
- Skills in repo
- 1,235
- Repo updated
- First seen
- Licence
- MIT
At a glance
Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals.
- Works in 4 steps: Set Up Your Profile → Define Your Goals → Build Your Watchlist → …
- Managing an X account
- SKILL.md covers Who This Is For, Core Philosophy, Quick Start and Daily Operations Loop, plus 4 more sections
- Calls python3
What it does
X Founder Operations is an agent skill from LeoYeAI/openclaw-master-skills. Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals. Implements a daily Plan-Do-Check-Act closed loop with content strategy (5-pillar system), multimodal creation, thread growth playbook, engagement and community building, product promotion integration, persona development, competitor analysis, and data-driven continuous improvement. Use when managing an X account, planning content, analyzing tweet performance, engaging with community, running competitive analysis, or…
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 28 other files, including scripts and reference files (for example `_meta.json`, `config/content-calendar.example.json` and `config/goals.example.json`).
It sits in Writing & Content, covering Competitor analysis, Content strategy and Social media posts. It works with X (Twitter). The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
When your agent uses it
- Managing an X account
- Planning content
- Analyzing tweet performance
- Engaging with community
Example prompts
- “/x-founder-operations”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit e5199b5. 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
Ships 1 file in scripts/, which the agent can run.
Shell commands in SKILL.md call:
python3
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
X Founder Operations loads about 4.6k tokens when it runs, and up to ~28k if it reads all its reference files. Until then it costs about 141 tokens; SKILL.md has 1,606 words of instructions outside code blocks.
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); the scripts in this folder are not scanned.
SKILL.md
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 1,606 words, ~4,622 tokens.
Download SKILL.mdSave it as
.claude/skills/x-founder-operations/SKILL.md (or your agent's skills folder). This skill also uses 26 other files; get the full folder from GitHub.- name
- x-founder-operations
- description
- Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals. Implements a daily Plan-Do-Check-Act closed loop with content strategy (5-pillar system), multimodal creation, thread growth playbook, engagement and community building, product promotion integration, persona development, competitor analysis, and data-driven continuous improvement. Use when managing an X account, planning content, analyzing tweet performance, engaging with community, running competitive analysis, or optimizing posting strategy.
- auto_invoke
- true
- examples
- Plan today's X content and engagement, Review yesterday's tweet performance and iterate, Draft a thread about our latest product feature, Analyze competitor…
X Founder Operations
Systematic X (Twitter) account operations for founders, indie developers, and tech professionals.
Who This Is For
- Founders: Building a brand, generating leads, fundraising, hiring, and establishing thought leadership while running a company
- Indie developers: Growing an audience around products, sharing the build journey, converting followers to users
- Tech professionals: Building a personal brand, establishing domain expertise, expanding professional network
This skill adapts to your specific role, goals, and growth stage through configurable profiles and goals.
Core Philosophy
Three Pillars
- Authenticity First: Your persona is a focused version of who you really are, not a character you play. People follow people, not brands.
- Value Before Promotion: 80% of content should deliver genuine value. Trust is built slowly and lost quickly.
- Data-Driven Evolution: Every post generates data. Every data point informs the next decision. Strategy evolves through empirical results, not gut feeling.
Data Integrity (Non-Negotiable)
- NEVER fabricate tweet content, metrics, or URLs
- NEVER guess or hallucinate to fill data gaps
- ALWAYS validate data through the validation workflow
- ALWAYS mark missing data as
null, never assume values
When API calls fail: STOP, report the failure honestly, and never proceed with fabricated data. See Data Validation Script for the full validation workflow.
Quick Start
1. Set Up Your Profile
Copy and customize the config templates:
config/profile.example.json → config/profile.json
config/goals.example.json → config/goals.json
config/watchlist.example.json → config/watchlist.json
config/content-calendar.example.json → config/content-calendar.jsonFill in your handle, role, product info, voice attributes, and target audience. See Profile Optimization for guidance on optimizing your X profile.
2. Define Your Goals
In config/goals.json, set:
- Primary objective (brand building, lead gen, fundraising, hiring, thought leadership)
- Growth stage (early, growth, established, authority)
- Monthly and quarterly targets
- Content mix ratios
See Growth Benchmarks for realistic targets by growth stage.
3. Build Your Watchlist
In config/watchlist.json, identify:
- 5-10 core circle accounts for daily engagement
- 3-5 competitor accounts to monitor
- Industry and media accounts to track
- Relevant X Communities to join
4. Start the Daily Loop
Follow the Operations Methodology PDCA loop:
Morning: Scan → Plan → Warm Up (30-45 min)
Daytime: Create → Post → Engage (throughout the day)
Evening: Check metrics → Reflect → Plan tomorrow (15-20 min)Daily Operations Loop
The core operating system. See Methodology for full details.
Morning Phase: Plan + Warm Up
- Scan: Check overnight mentions, core circle activity, trending topics
- Plan: Select today's content from calendar, prepare tweet drafts
- Warm up: Spend 15-20 min replying to 10-15 accounts from your core circle (this primes the algorithm before your own posts)
Execution Phase: Create + Post + Engage
- Post 2-3 tweets at optimal windows (see Cron Schedule), spaced 2-3 hours apart
- Stay active 30-60 min after each post — reply to every comment in the first hour
- Engage with core circle and community 2-3 times throughout the day
- No external links in main tweet body — always put links in the first reply
Evening Phase: Check + Reflect
- Collect metrics for today's posts
- Quick reflection using Daily Review Template
- Plan tomorrow: draft content, identify engagement targets
Weekly/Monthly/Quarterly
- Weekly (Sunday evening): Performance review, content audit, A/B test assessment, next week planning. Use Weekly Review Template.
- Monthly: Goal progress evaluation, strategy assessment, competitor analysis, persona check. Use Monthly Review Template.
- Quarterly: Major strategy review, goal reset, persona evolution, skill updates.
Content Strategy
See Content Strategy for the full framework.
Five Content Pillars
| Pillar | Target % | Purpose |
|---|---|---|
| Technical Depth | 40% | Tips, insights, tutorials — builds authority |
| Industry Pulse | 25% | Hot takes, predictions, trend analysis — builds thought leadership |
| Builder's Journey | 25% | Build-in-public, decisions, lessons — builds connection |
| Community Value | 10% | Questions, polls, resources — builds community |
| Personal Touch | woven in | Humor, personality, human moments — builds "活人感" |
Content Pipeline
Ideation → Drafting → Review → Scheduling → Posting → MeasurementEach step has quality checks. See Content Strategy: Content Pipeline for details.
Proven Content Formulas
- Claim + Evidence + CTA: Bold claim, specific proof, discussion prompt
- Story + Lesson + Takeaway: Brief narrative, what happened, actionable insight
- Question + Context + Invitation: Thoughtful question, why you're asking, invite perspectives
- List + Value + CTA: Numbered items with brief explanations, bookmark/follow prompt
- Reaction + Analysis + Prediction: News reference, your unique analysis, what happens next
Content Repurposing
- High-performing thread → 5-7 standalone tweets over the following week
- Popular single tweet → expand into a full thread
- Thread → blog post or newsletter; blog → thread
- Repost top content every 3-4 weeks with fresh phrasing
Thread Strategy
Threads are the highest-leverage growth mechanism on X. See Thread Playbook.
Thread Architecture
Hook (stop the scroll) → Context → Value Delivery (one point per tweet) → Summary → CTAKey Guidelines
- Optimal length: 5-7 tweets for most founders
- Post at 08:00-10:00 in target audience timezone
- Include visuals in 60-70% of thread tweets
- Prepare day before, post Tuesday-Thursday
- Target: 1-2 threads per week
Multimodal Content
See Multimodal Guide for complete guidance.
Impact
- Native video: ~10x distribution vs text-only
- Images: 2-3x engagement vs text-only
- Visuals increase dwell time (key algorithm signal)
Visual Types
| Type | Best For |
|---|---|
| Screenshots | Product demos, code output, real data, dashboards |
| Diagrams | System architecture, workflows, mental models |
| Code snippets | Technical tutorials, debugging stories |
| Memes | Industry humor, personality, cultural commentary |
| Data visualizations | Research, trends, build-in-public metrics |
| Video (native) | Product demos, talking head takes, tutorials |
The "活人感" Rule
Every visual should feel like a real person made it. Slightly imperfect screenshots, hand-drawn diagrams, and real workspace photos signal authenticity. Overly polished, stock-photo, or obviously AI-generated visuals signal corporate or fake.
Product Integration ("夹带私货")
See Product Integration for the full framework.
Three Tiers
| Tier | What | Frequency | How |
|---|---|---|---|
| Tier 1: Background | Product exists in your world, not the subject | Default mode | Bio, profile, pinned tweet do the work |
| Tier 2: Contextual | Product mentioned as example within a broader insight | ~10% of posts | "When we built [X], we found..." |
| Tier 3: Direct | Product is the subject: launches, milestones, demos | ~10% of posts | Launch threads, milestone celebrations |
Golden Rule
If you removed the product mention, the tweet should still be valuable. The product is the proof, not the point.
CTA Optimization
- Never put links in the main tweet (30-50% algorithm penalty)
- Soft CTAs work better than hard sells on X
- Match CTA to relationship stage: new followers → "follow for more"; engaged followers → "try it"
Engagement Playbook
See Engagement Playbook for full details.
Engagement Funnel
Stranger → Lurker → Follower → Fan → Advocate → Customer/PartnerShow full SKILL.md (643 more words)Show less
Core Circle
Identify 20-30 key accounts. Engage with Tier 1 accounts daily, Tier 2 accounts 3-4x/week, Tier 3 opportunistically. See Watchlist Config.
Reply Quality Framework
| Level | Type | Impact |
|---|---|---|
| S | Data/Evidence | Very high |
| A | Novel Perspective | High |
| B | Personal Story | High |
| C | Thoughtful Question | Medium |
| D | Agreement + Extension | Medium |
| F | Empty Agreement ("So true!") | Zero — never do this |
Additional Channels
- X Spaces: Host bi-weekly audio discussions; invite guests from core circle
- X Communities: Post in 3-5 relevant communities; provide value, not promotion
- DMs: After 3+ public interactions, send genuine (not salesy) direct messages
- X Lists: Private lists for competitors, industry leaders, investors, potential customers
Persona & Voice
Voice Attributes
Define your position on each spectrum in config/profile.json:
- Technical Depth: Surface ←→ Deep
- Humor: Serious ←→ Playful
- Formality: Casual ←→ Formal
- Vulnerability: Guarded ←→ Open
- Boldness: Cautious ←→ Provocative
Consistency Rules
- Maintain consistent tone across all content (the algorithm learns your pattern)
- Adapt tone to context (technical vs personal vs promotional) while keeping core voice
- Build personality anchors: recurring themes, catchphrases, or running jokes that create recognition
- For bilingual users: English for technical/international content, native language for personal/cultural content
Algorithm Awareness
See Algorithm Guide for complete details.
Key Rules
- First 30 minutes determine reach: Engagement velocity in the first 15-30 min drives 80%+ of total reach
- Reply > Retweet > Bookmark > Like: Algorithm weights replies highest (~1x), likes lowest (~0.5x)
- External links are penalized: 30-50% fewer impressions. Links go in first reply.
- Consistency rewards: Sudden posting changes trigger spam detection. Maintain steady cadence.
- Niche specificity: Stay focused on 2-3 topics. Random off-topic posts dilute your algorithm placement.
- Negative signals are devastating: Mute/block/report carry ~-74x weight. Never post hostile content.
- Video gets priority: Native video gets ~10x distribution vs text-only.
Goal Framework
Configure in goals.json. The skill adapts recommendations based on your primary objective and growth stage.
Primary Objectives
| Objective | Key X Activities |
|---|---|
| Brand building | Consistent voice, thought leadership content, thread strategy |
| Lead generation | Product integration, bio link optimization, CTA strategy |
| Fundraising | Industry analysis, investor engagement, traction posts |
| Hiring | Engineering challenges, culture posts, team stories |
| Thought leadership | Deep technical content, contrarian takes, Spaces hosting |
| Community building | Questions, engagement, Spaces, community participation |
Growth Stages
| Stage | Followers | Focus |
|---|---|---|
| Early | 0-1K | Finding voice, building core circle, posting consistently |
| Growth | 1K-10K | Thread strategy, content mix optimization, relationship depth |
| Established | 10K-50K | Authority content, Spaces hosting, selective engagement |
| Authority | 50K+ | Maintaining quality, community leadership, platform leverage |
See Growth Benchmarks for realistic targets by stage.
Automated Operations
See Cron Schedule for the full task schedule.
Daily Automated Tasks
| Task | Timing | Purpose |
|---|---|---|
| Morning Scan | 30 min before Window A | Trending topics, core circle activity, overnight mentions |
| Window A Reminder | Start of posting window | Content recommendation based on calendar + scan |
| Midday Collection | Between windows | Updated trends, Window A post metrics |
| Window B Reminder | Start of posting window | Updated recommendation for evening window |
| Engagement Follow-up | 30 min after Window B | Identify reply opportunities, quote tweet candidates |
| Mentions Check | 1 hour after Window B | Categorize and prioritize mentions |
| Evening Review | End of day | Metrics collection, daily performance summary |
Validation Workflow
All automated data collection follows this pipeline:
x-timeline → Get tweet list
↓
x-tweet-info → Get detailed metrics per tweet
↓
Cross-validate → ID, author, timestamp consistency
↓
Sanity check → Reasonable data (likes ≤ impressions, no negatives)
↓
Report → Mark anomalies, never guessCompetitor Analysis
See Competitor Framework.
Select 5-8 benchmark accounts across three categories:
- Aspirational (2-3): 10-100x your size, same niche
- Peer (2-3): Similar size and growth stage
- Emerging (1-2): Smaller but growing fast
Analyze monthly: content formulas, engagement patterns, posting times, visual strategy. Extract what works, adapt to your voice.
Tools and Scripts
Data Validation
File: scripts/x_data_validator.py
Validates X data through a 5-layer pipeline: API status, tweet ID presence, cross-validation, metrics completeness, data sanity checks.
Content Planner
File: scripts/content_planner.py
Reads profile, goals, and calendar config to generate daily content recommendations with content mix compliance tracking.
Analytics Reporter
File: scripts/analytics_reporter.py
Generates performance reports using the validation workflow. Produces weekly and monthly analytics with benchmark comparisons.
Smoke Tests (Regression Guard)
Location: tests/ — 63 unit tests covering all three scripts.
Run:
# No dependencies required — uses Python stdlib unittest
python3 -m unittest discover tests/ -v
Run after any script change before shipping.
## Emergency Protocols
### API Failures
1. Retry with exponential backoff (3 attempts max)
2. If still failing: report to user with clear error
3. NEVER proceed with fabricated data
### Content Crisis
1. Pause all automated posts
2. Review recent content for issues
3. Prepare response strategy
4. Notify user immediately
### Data Anomalies
1. Flag immediately in validation report
2. Cross-check with alternative sources
3. Don't include suspicious data in analysis
4. Alert user to investigate
## References
### Methodology & Strategy
- [Operations Methodology](references/methodology.md) — PDCA daily loop, A/B testing, review cadences
- [Content Strategy](references/content-strategy.md) — 5-pillar system, content pipeline, formulas, timing
- [Thread Playbook](references/thread-playbook.md) — Thread architecture, hooks, scheduling, repurposing
- [Multimodal Guide](references/multimodal-guide.md) — Visual types, tools, "活人感" checklist
- [Product Integration](references/product-integration.md) — 3-tier promotion, CTA optimization, launch playbook
### Growth & Engagement
- [Engagement Playbook](references/engagement-playbook.md) — Funnel, core circle, reply quality, DMs, Spaces
- [Persona & Voice Guide](references/persona-voice.md) — Voice development, consistency, language mix
- [Algorithm Guide](references/algorithm-guide.md) — How the X algorithm works, optimization tactics
- [Profile Optimization](references/profile-optimization.md) — Bio, photo, pinned tweet, header
### Analysis & Benchmarks
- [Competitor Framework](references/competitor-framework.md) — Benchmark selection, analysis template
- [Growth Benchmarks](references/growth-benchmarks.md) — Industry data by account size and content type
- [Cron Schedule](references/cron-schedule.md) — Automated task schedule, error handling
### Configuration
- [Profile Config](config/profile.example.json) — Handle, role, product, voice, audience
- [Goals Config](config/goals.example.json) — Objectives, targets, KPIs, content mix
- [Watchlist Config](config/watchlist.example.json) — Core circle, competitors, communities
- [Content Calendar](config/content-calendar.example.json) — Weekly rhythm, posting windows
### Templates
- [Daily Review](templates/daily-review.md)
- [Weekly Review](templates/weekly-review.md)
- [Monthly Review](templates/monthly-review.md)
- [Performance Report](templates/performance-report.md)
## Remember
**Trust is built through consistent reliability.** Every post, every reply, every data point matters. Never compromise on data integrity. Never sacrifice authenticity for engagement.
This skill is a living system. It evolves with every daily review, every weekly analysis, and every quarterly strategy reset. The methodology ensures you're always getting smarter about what works for YOUR specific account, audience, and goals.© LeoYeAI, 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 26 other files (scripts, references) in skills/x-founder-operations of LeoYeAI/openclaw-master-skills.
- SKILL.md
- _meta.json
- config/content-calendar.example.json
- config/goals.example.json
- config/profile.example.json
- config/watchlist.example.json
- references/algorithm-guide.md
- references/competitor-framework.md
- references/content-strategy.md
- references/cron-schedule.md
- references/engagement-playbook.md
- references/growth-benchmarks.md
- references/methodology.md
- references/multimodal-guide.md
- references/persona-voice.md
- references/product-integration.md
- references/profile-optimization.md
- references/thread-playbook.md
- scripts
- … and 8 more
Open the folder on GitHubat commit e5199b5
Compare with similar skills
X Founder Operations 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| X Founder Operations this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.6k | Automated safety check: Pass | MIT | |
| Getxapi ConnectLeoYeAI/openclaw-marketing-skills | 1k | 1 repos | ~715 | Automated safety check: Pass | Custom licence | |
| X Twitter ConnectLeoYeAI/openclaw-marketing-skills | 1k | 1 repos | ~1.6k | Automated safety check: Pass | Custom licence | |
| X Algorithm Post Writingcarson2222/skills | 113 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | |
| Social Media Managementmanojbajaj95/claude-gtm-plugin | 105 | 1 repos | ~3.9k | Automated safety check: Pass | MIT | |
| X Content Plannersergebulaev/x-skills | 124 | 1 repos | ~1.4k | Automated safety check: Pass | MIT |
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Questions about X Founder Operations
What does X Founder Operations do?
Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals. X Founder Operations is an agent skill from LeoYeAI/openclaw-master-skills. Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals.
When should I use X Founder Operations?
X Founder Operations fits situations like: managing an X account; planning content; analyzing tweet performance; engaging with community.
How do I install X Founder Operations in Claude Code?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill x-founder-operations -a claude-code`. Or copy the skill folder (skills/x-founder-operations in LeoYeAI/openclaw-master-skills) into .claude/skills/x-founder-operations in your project. Claude Code loads it when a task matches its description.
How do I install X Founder Operations in Codex?
Run `npx skills add LeoYeAI/openclaw-master-skills --skill x-founder-operations -a codex`. Or copy the skill folder (skills/x-founder-operations in LeoYeAI/openclaw-master-skills) into .agents/skills/x-founder-operations in your project. Codex loads it when a task matches its description.
Can I use X Founder Operations 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 LeoYeAI/openclaw-master-skills --skill x-founder-operations -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/x-founder-operations, .gemini/skills/x-founder-operations, .github/skills/x-founder-operations and .opencode/skills/x-founder-operations in your project.
What does X Founder Operations need to run?
Going by SKILL.md and its folder, X Founder Operations needs the command-line tools its instructions call (python3).
Does X Founder Operations 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 X Founder Operations 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does X Founder Operations use?
X Founder Operations 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 X Founder Operations use?
About 4.6k tokens (SKILL.md is roughly 18k 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 23k tokens, read only when the agent opens those files.
What are the alternatives to X Founder Operations?
Skills that share tags, products or a category with X Founder Operations: Getxapi Connect (LeoYeAI/openclaw-marketing-skills, 1k stars), X Twitter Connect (LeoYeAI/openclaw-marketing-skills, 1k stars), X Algorithm Post Writing (carson2222/skills, 113 stars) and Social Media Management (manojbajaj95/claude-gtm-plugin, 105 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains X Founder Operations?
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.