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Deployment, cloud, containers, CI/CD, monitoring, and infrastructure
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- Onair ShoutoutSubmit a sponsor message to be read live on air on the GM Farcaster show, via the paid On-Air Shoutout API. Use this when the user wants to buy/book/submit a sponsor read, shoutout, or live ad on GM Farcaster. This is asynchronous and human-in-the-loop — it pays $5 USDC (x402 on Base) and returns a receipt (request_id + status pending_review), NOT a confirmed read; GM Farcaster may decline and refund. Also use it to check the status of a previously submitted shoutout.Votes: 0GitHub stars: 1,203
- HoodmarketsLaunch, buy, sell, and claim fees for hood.markets tokens on Robinhood Chain (4663) via api.hood.markets. Use for hoodmarkets, hood.markets, $hood, launch token, deploy token, buy token, sell token, claim fees, Bankr Robinhood. NEVER use hood.markets for API POST — use api.hood.markets.Votes: 0GitHub stars: 1,201
- GmfarcasterAnswer questions about the GM Farcaster podcast archive (Farcaster, Base, and the wider crypto-social ecosystem) using the paid Warpee Knowledge API. Use this when the user asks what the GM Farcaster hosts or guests have said on a topic, wants an episode summary, asks about casts featured on the show, mentions of a person/project, or episode metadata (dates, hosts, guests). Each query is a paid x402 request (~$0.005 USDC on Base).Votes: 0GitHub stars: 1,203
- Github VestingGitHub-gated token vesting on proofofdev.xyz — lock ANY ERC-20 on Base via API at api.proofofdev.xyz, link GitHub, repo claims. Use for github vesting, lock tokens, vesting progress, link github, proofofdev. NEVER use github-vesting.vercel.app for API.Votes: 0GitHub stars: 1,203
- Ethskills WhyWhy build on Ethereum — the AI agent angle with ERC-8004 identity, x402 payments, composability, and permissionless deployment. Corrects common misconceptions about gas costs, terminology, and network status.Votes: 0GitHub stars: 1,203
- Ethskills Frontend PlaybookComplete build-to-production pipeline for Ethereum dApps — fork mode setup, IPFS deployment, Vercel config, ENS subdomain setup, and a full production checklist built around Scaffold-ETH 2.Votes: 0GitHub stars: 1,203
- Investigate IncidentInvestigate production incidents using Datadog. Use when user says "what's causing this alert", "investigate production incident", "root cause analysis for production error", "debug production issue", "what caused this outage", "analyze production logs", "triage production error", "why is the service down", "production is throwing errors", or "help me understand this incident". Always use this skill when diagnosing production issues, on-call alerts, or service degradations that require queryi...Votes: 0GitHub stars: 42
- Datadog Cost TrackerTrack and analyze Datadog ingestion costs using estimated_usage metrics. Use when the user asks "what is our Datadog spend", "how much are we ingesting in Datadog", "find the top log ingesters", "break down Datadog costs by service", "why is our Datadog bill high", or "compare APM span ingestion before and after a deploy". Always consult the gotchas reference before trusting empty query results.Votes: 0GitHub stars: 42
- Loom FluxcdGitOps continuous delivery toolkit for Kubernetes with Flux CD.Votes: 0GitHub stars: 56
- Loom CrossplaneCloud-native infrastructure management with Crossplane via Kubernetes APIs.Votes: 0GitHub stars: 56
- Loom ArgocdGitOps continuous delivery with Argo CD for Kubernetes.Votes: 0GitHub stars: 56
- Research DigestDaily digest of the most interesting new posts on [REPLACE: TOPIC] from RSS feeds and the open webVotes: 0GitHub stars: 6
- Star Momentum AlertProject the date a watched repo crosses its next star milestone — alert only when projected date lands inside the Show HN dispatch window (7-14 days out, Tue/Wed/Thu)Votes: 0GitHub stars: 6
- Push RecapDaily deep-dive recap of all pushes — reads diffs, ranks impact, separates user-visible shipments from internal work, delivers a verdictVotes: 0GitHub stars: 6
- Project LensWrite an article about the project through a surprising lens — connecting it to current events, trends, philosophy, or comparable projectsVotes: 0GitHub stars: 6
- Fund FlowTrace where funds move to (or came from) across multiple hops from a Base address and render a Mermaid flow graph. Keyless — no explorer key needed.Votes: 0GitHub stars: 6
- Compute PulseTracker for the AI compute market — GPU/hardware deals, inference pricing trends, decentralized compute token signals, and lab vs hyperscaler dynamics.Votes: 0GitHub stars: 6
- Beamr RouteRoute a prompt through a BEAMR x402 gateway and report the answer + onchain receiptVotes: 0GitHub stars: 6
- Batch HealthPost-batch audit — checks whether all enabled scheduled skills fired in their expected window, alerts on silent misses, files issues on batch-level outagesVotes: 0GitHub stars: 6
- Research DigestDigest of the most interesting new posts on [REPLACE: TOPIC] from RSS feeds and the open webVotes: 0GitHub stars: 6
- Pytorch LightningDeep learning framework (PyTorch Lightning / lightning package). Organize PyTorch code into LightningModules, configure Trainers for multi-GPU/TPU, implement data pipelines, callbacks, logging (W&B, TensorBoard, MLflow), distributed training (DDP, FSDP, DeepSpeed), for scalable neural network training.Votes: 0GitHub stars: 47,690
- Polars BioPerforms genomic interval overlap, nearest, merge, coverage, complement and subtraction on Polars DataFrames, and reads or writes BED, VCF, BCF, BAM, CRAM, GFF, GTF, FASTA and FASTQ data. Use for coordinate-aware genomic joins, read-depth analysis, lazy bioinformatics I/O, SQL queries or migration from bioframe.Votes: 0GitHub stars: 47,690
- NextflowBuilds, runs, and debugs Nextflow DSL2 pipelines and nf-core workflows. Use for Nextflow, nf-core, .nf files, nextflow.config, processes/channels/operators, samplesheets, nf-test, modules/subworkflows, container and executor configuration, HPC/SLURM or cloud deployment, and failed or resumed pipeline runs.Votes: 0GitHub stars: 47,690
- ModalModal is a serverless cloud platform for running Python on demand, including on-demand GPUs. Use when deploying or serving AI/ML models, running GPU-accelerated workloads (training, fine-tuning, inference), serving web endpoints, scheduling batch jobs, or scaling Python code to cloud containers with the Modal SDK.Votes: 0GitHub stars: 47,690