Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals. Implements a daily Plan-Do-Check-Act closed loop with content...
Systematic X (Twitter) operations skill for founders, indie developers, and tech professionals. Implements a daily Plan-Do-Check-Act closed loop with content...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Systematic X (Twitter) account operations for founders, indie developers, and tech professionals.
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.
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.
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.
Copy and customize the config templates: config/profile.example.json β config/profile.json config/goals.example.json β config/goals.json config/watchlist.example.json β config/watchlist.json config/content-calendar.example.json β config/content-calendar.json Fill in your handle, role, product info, voice attributes, and target audience. See Profile Optimization for guidance on optimizing your X profile.
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.
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
Follow the Operations Methodology PDCA loop: Morning: Scan β Plan β Warm Up (30-45 min) Daytime: Create β Post β Engage (throughout the day) Evening: Check metrics β Reflect β Plan tomorrow (15-20 min)
The core operating system. See Methodology for full details.
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)
Post 2-3 tweets at optimal windows (see Cron Schedule), spaced 2-3 hours apart Stay active 30-60 min after each post β 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 β always put links in the first reply
Collect metrics for today's posts Quick reflection using Daily Review Template Plan tomorrow: draft content, identify engagement targets
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.
See Content Strategy for the full framework.
PillarTarget %PurposeTechnical Depth40%Tips, insights, tutorials β builds authorityIndustry Pulse25%Hot takes, predictions, trend analysis β builds thought leadershipBuilder's Journey25%Build-in-public, decisions, lessons β builds connectionCommunity Value10%Questions, polls, resources β builds communityPersonal Touchwoven inHumor, personality, human moments β builds "ζ΄»δΊΊζ"
Ideation β Drafting β Review β Scheduling β Posting β Measurement Each step has quality checks. See Content Strategy: Content Pipeline for details.
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
High-performing thread β 5-7 standalone tweets over the following week Popular single tweet β expand into a full thread Thread β blog post or newsletter; blog β thread Repost top content every 3-4 weeks with fresh phrasing
Threads are the highest-leverage growth mechanism on X. See Thread Playbook.
Hook (stop the scroll) β Context β Value Delivery (one point per tweet) β Summary β CTA
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
See Multimodal Guide for complete guidance.
Native video: ~10x distribution vs text-only Images: 2-3x engagement vs text-only Visuals increase dwell time (key algorithm signal)
TypeBest ForScreenshotsProduct demos, code output, real data, dashboardsDiagramsSystem architecture, workflows, mental modelsCode snippetsTechnical tutorials, debugging storiesMemesIndustry humor, personality, cultural commentaryData visualizationsResearch, trends, build-in-public metricsVideo (native)Product demos, talking head takes, tutorials
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.
See Product Integration for the full framework.
TierWhatFrequencyHowTier 1: BackgroundProduct exists in your world, not the subjectDefault modeBio, profile, pinned tweet do the workTier 2: ContextualProduct mentioned as example within a broader insight~10% of posts"When we built [X], we found..."Tier 3: DirectProduct is the subject: launches, milestones, demos~10% of postsLaunch threads, milestone celebrations
If you removed the product mention, the tweet should still be valuable. The product is the proof, not the point.
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 β "follow for more"; engaged followers β "try it"
See Engagement Playbook for full details.
Stranger β Lurker β Follower β Fan β Advocate β Customer/Partner
Identify 20-30 key accounts. Engage with Tier 1 accounts daily, Tier 2 accounts 3-4x/week, Tier 3 opportunistically. See Watchlist Config.
LevelTypeImpactSData/EvidenceVery highANovel PerspectiveHighBPersonal StoryHighCThoughtful QuestionMediumDAgreement + ExtensionMediumFEmpty Agreement ("So true!")Zero β never do this
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
See Persona & Voice Guide.
Define your position on each spectrum in config/profile.json: Technical Depth: Surface ββ Deep Humor: Serious ββ Playful Formality: Casual ββ Formal Vulnerability: Guarded ββ Open Boldness: Cautious ββ Provocative
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
See Algorithm Guide for complete details.
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.
Configure in goals.json. The skill adapts recommendations based on your primary objective and growth stage.
ObjectiveKey X ActivitiesBrand buildingConsistent voice, thought leadership content, thread strategyLead generationProduct integration, bio link optimization, CTA strategyFundraisingIndustry analysis, investor engagement, traction postsHiringEngineering challenges, culture posts, team storiesThought leadershipDeep technical content, contrarian takes, Spaces hostingCommunity buildingQuestions, engagement, Spaces, community participation
StageFollowersFocusEarly0-1KFinding voice, building core circle, posting consistentlyGrowth1K-10KThread strategy, content mix optimization, relationship depthEstablished10K-50KAuthority content, Spaces hosting, selective engagementAuthority50K+Maintaining quality, community leadership, platform leverage See Growth Benchmarks for realistic targets by stage.
See Cron Schedule for the full task schedule.
TaskTimingPurposeMorning Scan30 min before Window ATrending topics, core circle activity, overnight mentionsWindow A ReminderStart of posting windowContent recommendation based on calendar + scanMidday CollectionBetween windowsUpdated trends, Window A post metricsWindow B ReminderStart of posting windowUpdated recommendation for evening windowEngagement Follow-up30 min after Window BIdentify reply opportunities, quote tweet candidatesMentions Check1 hour after Window BCategorize and prioritize mentionsEvening ReviewEnd of dayMetrics collection, daily performance summary
All automated data collection follows this pipeline: x-timeline β Get tweet list β x-tweet-info β Get detailed metrics per tweet β Cross-validate β ID, author, timestamp consistency β Sanity check β Reasonable data (likes β€ impressions, no negatives) β Report β Mark anomalies, never guess
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.
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.
File: scripts/content_planner.py Reads profile, goals, and calendar config to generate daily content recommendations with content mix compliance tracking.
File: scripts/analytics_reporter.py Generates performance reports using the validation workflow. Produces weekly and monthly analytics with benchmark comparisons.
Code helpers, APIs, CLIs, browser automation, testing, and developer operations.
Largest current source with strong distribution and engagement signals.