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Found 10,841 Skills
It's 11pm before your launch. Your PH page is ready but you have no idea what actually moves the ranking algorithm. Upvotes? Comments? Time-of-day? This is the hour-by-hour operations manual from someone who's coached 30+ #1 finishes. What's inside: • Ranking algorithm deep-dive (it's not just upvotes — weighted factors decoded) • Launch day minute-by-minute checklist (PST timing, first 3 hours are critical) • Voter mobilization strategies (ethical, anti-spam-safe approaches) • Asset preparation templates (gallery, tagline ≤60 chars, maker comments) • Post-launch 72h momentum plan (convert PH traffic → retained users) Built from: 30+ PH #1 daily wins, 10+ weekly top 3, 2 monthly top 5. 3,000-5,000+ upvotes per launch. Triggers: "Product Hunt" | "PH launch" | "Product Hunt #1" | "PH ranking" | "Product Hunt strategy" | "PH upvotes" | "launch day" | "PH打榜" | "Product Hunt攻略" | "PH ranking algorithm"
Twitter/X Agent Operations SOP v2 — Rebuilt from real dual-account operations. Real data: • CN account: grew from 1,150 → 3,679 followers (~14 months), 1 tweet/day, OAuth1 direct post • EN account: Buffer API • Real incidents: cron silent-failed for 2 weeks unnoticed, analytics data off by 17×, thread performance worse than single posts What's new in v2: • Step-by-step onboarding (Q1→Q6), multiple choice wherever possible — no big forms • Mandatory daily log after every tweet + weekly report every Monday • Pre-publish safety checklist (agent must pass before posting) • Content pool tracker (used/unused) + alert when ≤3 items remain • Dual-account credential separation (CN: OAuth1 / EN: Buffer API) • MASTER-STATUS.md as the single source of truth — read + write every session 🇨🇳 Twitter/X Agent Operations SOP v2 — Rebuilt based on real dual-account operation experience. Conversational onboarding to collect context, mandatory daily + weekly reports, pre-publish red-line self-check, content pool tracking, dual-account credential separation, MASTER-STATUS.md as the single source of truth. Real data: Chinese account grew from 1,150 to 3,679 followers (~14 months), 1 tweet per day. Triggers: "twitter operations" | "twitter agent" | "tweet SOP" | "AI managed operations" | "tweet daily report" | "content pool" | "Buffer API" | "OAuth1 tweet posting" | "twitter automation" | "tweet sop" | "twitter follower growth"
🇺🇸 Your dev team ships features nobody asked for while user-reported bugs pile up for months. Operations blames engineering for ignoring users; engineering blames operations for not understanding technical constraints. This gives you the complete Product × Engineering × Operations alignment SOP — from unified backlog to 10-day sprint cadence to veto power rules. What's inside: • Dual-layer Kanban system (master backlog + sprint board with unified tagging) • 10-day sprint standard process (Day 1 dev → Day 6 testable build → Day 10 ship) • Issue template with reproducibility requirements (3x reported = auto-severe) • Tri-party alignment meetings (daily standup / sprint planning / sprint review) • Operations veto power on releases (P0 bug = block shipping) • User feedback → product iteration closed loop (beta testing + interview SOP) • Core metrics framework (acquisition → activation → retention → monetization → referral) • Technical debt management (20-30% sprint capacity reserved) • Ready-to-use templates: Bug Report, Sprint Planning, Responsibility Matrix Built from: Real product strategy meetings + beta testing frameworks. References Supabase sprint model, Manus/DeepSeek commercialization alignment. By @WeiYipei. 🇨🇳 Your dev team is building features no one wants, while user-reported bugs have been piling up for three months without being addressed. Operations thinks R&D ignores users; R&D thinks Operations doesn't understand technical constraints. This SOP provides you with a complete Product × Engineering × Operations collaboration framework, from unified Kanban to 10-day iteration cadence to veto power rules. 🇯🇵 Your dev team is building features no one asks for, and user-reported bugs have been left unattended for months. This SOP provides a complete collaboration framework for Product × Engineering × Operations, from unified backlog to 10-day sprints to release veto power. 🇰🇷 Your dev team is building features no one requests, and user-reported bugs have been neglected for months. This SOP provides a complete collaboration framework for Product × Engineering × Operations, from unified backlog to 10-day sprints to release veto power. Triggers: "product ops" | "engineering operations" | "product development SOP" | "sprint planning" | "iteration management" | "cross-functional alignment" | "product engineering ops" | "dev ops collaboration" | "product-engineering-ops-alignment" | "iteration-management" | "product-development-operations" | "product-development-operations" | "product-development-operations"
Domain, DNS, Postfächer und Bewertungen über die Akademie von gefundenwerden.online einrichten — mit dem persönlichen mm_-Schlüssel des Nutzers. Use this skill whenever the user wants to connect a domain, set DNS records, point a domain at Vercel, create or manage mailboxes and aliases, change a mailbox password, activate a mail domain, check domain availability, or fetch Google/Trustpilot reviews — and mentions an mm_ key, the Academy, or academy.gefundenwerden.online. Enthält alle Endpunkte, die richtige Reihenfolge und die Stolperfallen.
Implement a plan, spec, or issue into working code, picking straight-through vs TDD mode by precedence (prompt → CLAUDE.md → repo habit → ask), then running the repo's test + build gate before declaring done. Use when the user says "implement this plan", "implement #42", "do this TDD", or "apply these review findings". It stops before the commit and runs attended; the unattended issue-to-PR span is afkkit's.
This skill should be used when the user asks "how does this scale", "scale to millions", "scaling roadmap", "where is the bottleneck", "what breaks first", "10x growth", "vertical vs horizontal scaling", "scale from zero", or "what's the next scale curve". It gives the order-of-magnitude evolution path (single server → tiers → replicas → cache → CDN → stateless tier → multi-region → sharding) and a way to diagnose the *next* bottleneck instead of memorizing one big diagram. Use it whenever a design must grow by orders of magnitude or a load increase is on the table, even if the user doesn't say "scaling".
This skill should be used when the user designs a "message queue", reaches for "Kafka", "RabbitMQ", "SQS", "Kinesis", "pub/sub", or "event-driven" architecture, asks about "async processing", "background jobs", "stream processing", or wrestles with "exactly-once vs at-least-once", "delivery guarantees", "message ordering", "duplicate handling / dedup", "dead letter queue", "backpressure", "saga orchestration", or "durable workflow". Use it whenever a slow or spiky operation should move off the request path, or two services must be decoupled, even if the user doesn't say "queue".
This skill should be used when the user needs to "estimate QPS", "back-of-the-envelope" (BOTEC) numbers, "how much storage / bandwidth", "how many servers", "peak load", "capacity planning", or wants the standard latency / throughput / availability numbers to ground a design (latency table, QPS rates, powers of two, nines). Use it whenever a design decision hinges on scale — convert any "high traffic" / "huge data" phrase into concrete numbers before choosing components, even if the user doesn't say "estimate".
This skill should be used when the user designs a "task scheduler", "job scheduler", "job queue", "cron at scale", "distributed cron", "delayed / scheduled / recurring tasks", a "worker pool", reaches for "Celery / Sidekiq / Airflow", or wrestles with "task leasing", visibility timeouts, job priorities, fairness, or duplicate task execution. Use it whenever work must run later, on a schedule, or be reliably leased to a pool of workers, even if the user doesn't say "scheduler". (For plain queue transport and delivery guarantees, that is `messaging-streaming`.)
This skill should be used when the user needs to "clarify requirements", separate "functional vs non-functional requirements", "scope the problem", figure out "what questions should I ask", state the "requirements for <X>", or otherwise pin down a vague design prompt before building. It turns an ambiguous ask into functional requirements, non-functional constraints, and an explicit out-of-scope. Use it whenever a prompt is broad or under-specified ("design Twitter", "build a chat app") even if the user doesn't say "requirements".
This skill should be used when the user needs a "sharded counter", "distributed counter", to "count likes / views at scale", handles a "high-write counter" or "hot counter contention", asks about "approximate counting", "real-time counts", or "HyperLogLog". It gives the recipe for absorbing write-heavy counting without a single hot row. Use it whenever one row/key takes concurrent increments faster than it can serialize them, even if the user doesn't say "sharded counter".
Pressure-test a stateful system or replacement design through Rich Hickey's simplicity and complection, Greg Young's deletability, Ousterhout's deep modules, DDD boundaries, typed effects, and explicit lifecycle modeling. Use when the user asks "what would Rich Hickey do", "optimize for deletion", "make this simpler", "define this error out of existence", "review this state machine", "design it twice", or wants to replace a working prototype without preserving its accidental architecture.