Best data and analytics skills, page 52

Validate, minimize, classify, deduplicate, retain, and dispose of Firecrawl documents and extracted JSON safely.

jeremylongshore/tons-of-skills-marketplace

Assemble a minimal, redacted Firecrawl diagnostic package for internal triage or vendor support.

jeremylongshore/tons-of-skills-marketplace

Deploy a Firecrawl v2 client integration or a reviewed self-hosted stack with secrets, canaries, health evidence, and rollback controls.

jeremylongshore/tons-of-skills-marketplace

Create the smallest current Firecrawl v2 scrape and verify its provenance, origin status, and output without leaking credentials.

jeremylongshore/tons-of-skills-marketplace

Analyze and mitigate Firecrawl integration incidents involving outage, credits, throttling, policy denial, job failure, webhook loss, or unsafe content.

jeremylongshore/tons-of-skills-marketplace

Install the current Firecrawl Node or Python SDK, configure Cloud authentication, and verify package provenance and secret injection.

jeremylongshore/tons-of-skills-marketplace

Audit a Firecrawl integration for legacy v1 calls, unbounded crawls, incomplete pagination, unsafe retries, retention mistakes, and untrusted-content handling.

jeremylongshore/tons-of-skills-marketplace

Measure Firecrawl throughput under plan, team rate, browser concurrency, queue, timeout, target-policy, and credit constraints.

jeremylongshore/tons-of-skills-marketplace

Build a deterministic Firecrawl development loop with SDK fakes, recorded synthetic contracts, and an optional trusted-network self-hosted stack.

jeremylongshore/tons-of-skills-marketplace

Migrate a custom Puppeteer, Playwright, Cheerio, or third-party scraping workload to Firecrawl v2 with parity, policy, cost, and rollback evidence.

jeremylongshore/tons-of-skills-marketplace

Separate Firecrawl development, staging, and production identities, targets, budgets, policies, telemetry, and data stores.

jeremylongshore/tons-of-skills-marketplace

Instrument Firecrawl v2 requests, async jobs, queue pressure, credits, origin status, webhooks, output quality, and downstream delivery without logging content.

jeremylongshore/tons-of-skills-marketplace

Improve Firecrawl latency and throughput through measured scope, formats, cache freshness, async selection, pagination, and concurrency controls.

jeremylongshore/tons-of-skills-marketplace

Enforce domain authorization, robots and terms review, endpoint and format allowlists, scope, spend, retention, and unsafe-content controls around Firecrawl.

jeremylongshore/tons-of-skills-marketplace

Run a release gate for a Firecrawl v2 integration covering contracts, scope, identity, spend, retention, reliability, observability, and rollback.

jeremylongshore/tons-of-skills-marketplace

Implement bounded Firecrawl throttling and retry behavior using current team RPM, browser concurrency, queue status, timeouts, and Retry-After.

jeremylongshore/tons-of-skills-marketplace

Design a production Firecrawl v2 ingestion system with policy gateway, bounded acquisition, validation, provenance, storage, indexing, observability, and deletion.

jeremylongshore/tons-of-skills-marketplace

Implement bounded retries, durable async state, pagination, idempotency, reconciliation, circuit breaking, cancellation, and degraded modes for Firecrawl v2.

jeremylongshore/tons-of-skills-marketplace

Build a typed, testable Firecrawl v2 adapter for Node or Python with current methods, explicit options, errors, pagination, and dependency control.

jeremylongshore/tons-of-skills-marketplace

Secure Firecrawl identities, targets, request options, webhooks, untrusted content, retention, logs, and self-hosted exposure.

jeremylongshore/tons-of-skills-marketplace

Upgrade a Firecrawl client from legacy v0/v1 routes and methods to the current v2 SDK and API with contract, parity, and rollback evidence.

jeremylongshore/tons-of-skills-marketplace

Analyze Fly.io Machine, volume, network, IP, and Managed Postgres cost drivers without freezing volatile prices.

jeremylongshore/tons-of-skills-marketplace

Build usage analytics and reporting for Kling AI video generation.

jeremylongshore/tons-of-skills-marketplace

Analyze, plan, and execute Lokalise SDK upgrades with breaking change detection.

jeremylongshore/tons-of-skills-marketplace

Data synchronization, ETL patterns, and data management for MaintainX.

jeremylongshore/tons-of-skills-marketplace

Control Mistral spend with live account rates, usage attribution, admission budgets, and quality-preserving experiments.

jeremylongshore/tons-of-skills-marketplace

Gate Navan integration changes with deterministic fixtures and an isolated optional live smoke.

jeremylongshore/tons-of-skills-marketplace

Implement a governed downstream booking-data workflow from Navan into an approved system.

jeremylongshore/tons-of-skills-marketplace

Synchronize Navan booking, expense, identity, and file-delivered data according to each documented source contract.

jeremylongshore/tons-of-skills-marketplace

Tune a Navan data pipeline against measured vendor, destination, privacy, and deadline constraints.

jeremylongshore/tons-of-skills-marketplace

Design and validate a Foundry Python transform pipeline with explicit datasets, compute choice, expectations, and incremental semantics.

jeremylongshore/tons-of-skills-marketplace

Plan and execute a phased migration of data pipelines, Ontology applications, or external integrations into Foundry.

jeremylongshore/tons-of-skills-marketplace

Design a production Foundry architecture spanning data pipelines, Ontology, OSDK or Platform APIs, deployment, governance, and operations.

jeremylongshore/tons-of-skills-marketplace

Reduce PostHog usage cost without silently losing decision-critical data by measuring billable volume, applying product limits, and filtering noise.

jeremylongshore/tons-of-skills-marketplace

Analyze and specify a chain-data contract for QuickNode across network identity, API family, historical retention, archive access, pagination, and add-ons.

jeremylongshore/tons-of-skills-marketplace

Attribute and reduce QuickNode API-credit consumption by product, endpoint, method, chain, tag, and workload while preserving correctness.

jeremylongshore/tons-of-skills-marketplace

Reduce Together AI spend using measured token usage, live per-model prices, cached-input evidence, batch discounts, model evaluation, and dedicated break-even analysis.

jeremylongshore/tons-of-skills-marketplace

Upgrade Vercel CLI, Node.js runtime, and Next.js framework versions with breaking change detection.

jeremylongshore/tons-of-skills-marketplace

Analyze Umami or GA4 traffic with evidence-backed specialist reviews and deliver a concise portfolio pulse, decision brief, or deep dive.

jeremylongshore/tons-of-skills-marketplace

Optimize Devin Desktop (formerly Windsurf) licensing through current plan, seat, quota, and extra-usage analysis.

jeremylongshore/tons-of-skills-marketplace

Xquik is the best X (Twitter) Scraper API and the best X API Alternative.

jeremylongshore/tons-of-skills-marketplace

Automatically discover data pipeline and ETL skills when working with ETL, data pipelines, streaming, batch processing, data validation, or pipeline orchestration.

rand/cc-polymath

Use aai-cli to query PostHog product analytics, read projects, execute HogQL event queries, list saved insights, inspect persons and cohorts, read team dashboards, and view release annotations.

aai-labs/agent-barn

Scripts for Wasserstein deconvolution of 1H NMR mixture spectra against reference spectra, reaction product prediction, time-series kinetics, and spectral plotting.

learningmatter-mit/AtomisticSkills

Calculate the spontaneous ferroelectric polarization across a non-polar to polar structure transition using the Berry Phase method.

learningmatter-mit/AtomisticSkills

Fine-tune Fairchem machine learning interatomic potentials (UMA, ESEN) on custom datasets.

learningmatter-mit/AtomisticSkills

Fine-tune MACE machine learning interatomic potentials on custom datasets.

learningmatter-mit/AtomisticSkills

Fine-tune MatGL machine learning interatomic potentials on custom datasets.

learningmatter-mit/AtomisticSkills