The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 354 files from 1 739 authors, of which 61 713 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
>- Measure and improve test coverage meaningfully. Covers Istanbul/V8/coverage.py configuration, coverage gap analysis by risk, coverage-as-ratchet in CI (never let it decrease), PR coverage diff checks, mutation testing for assertion quality, and gap," "Istanbul," "coverage threshold," "coverage report," "branch coverage." tracked KPI trend over time — use qa-metrics.
>- cy.intercept network control, cy.session login, Cypress Cloud, and CI integration. Covers retry-ability, the command queue, cross-origin flows with cy.origin, and data-driven testing with fixtures. "cy.intercept," "Cypress component test," "Cypress Cloud," "cypress.config.ts." use test-reliability; bulk selector regeneration after a UI refactor — use selector-drift-recovery; Selenium-to-Cypress conversion — use test-migration.
>- Design analytics-driven browser test matrices and execute cross-browser tests. Covers BrowserStack/Sauce Labs configuration, Playwright browser channels, common cross-browser CSS/JS divergences, a known-issues documentation log, and progressive enhancement validation. "browser compatibility," "Edge," "works in Chrome but not Safari." device-farm testing of native/hybrid apps — use mobile-testing.
>- Design and execute structured exploratory testing sessions. Covers Session-Based Test Management (SBTM), charter writing, heuristic-based exploration (HICCUPS, FEW HICCUPS), bug discovery patterns, note-taking templates, and conversion of "bug hunting," "test charter," "heuristic testing." features — use ai-system-testing.
>- Validate database integrity, test migrations forward and backward, verify schema constraints, manage seed data, detect migration drift, and identify query performance issues. Covers PostgreSQL, MySQL, MongoDB with Prisma, TypeORM, Drizzle, and SQLAlchemy, plus Testcontainers test databases. "data integrity," "SQL test," "schema validation," "seed data," "query performance," "Testcontainers." Docker/IaC test-environment provisioning — use test-environments; SQL injection — use security-testing.
>- End-to-end testing of email-dependent flows — signup confirmation, password reset, magic-link login, OTP/MFA codes, and notification emails. Covers the capture-inbox decision tree (Mailpit, Mailosaur, MailSlurp, Ethereal), Playwright polling without fixed sleeps, regex extraction of links/OTPs from the email body, deterministic per-test addresses (plus-addressing, per-inbox), subject/from/header/link assertions, and SPF/DKIM/DMARC deliverability checks as a separate suite. "magic-link login test," "capture OTP from email," "Mailpit," "Mailosaur," "MailSlurp," "email arrives flaky in CI," "assert email subject/from/links." an email provider — those are api-testing / app concerns. Email HTML rendering across clients (Outlook/Gmail dark mode) is out of scope (note it as a gap; use visual-testing or Litmus).
>- Use production telemetry as INPUT to design new tests. Covers OpenTelemetry integration with tests, trace-based assertions, log-informed test creation, production-error analysis for coverage gaps, and telemetry-driven test "OpenTelemetry assertions," "production errors point to test gaps," ai-bug-triage.
>- Test payment and checkout flows end to end against PSP sandboxes — Stripe first, with the general pattern for Adyen/Braintree/PayPal. Covers Stripe test-mode card numbers and their decline codes, the 3DS/SCA challenge flow and its nested-iframe handling in Playwright, test clocks for subscription/billing-cycle simulation, webhook testing (stripe listen/trigger, signature verification, idempotency), failed/retried payments and "3DS test," "test webhook signature," "test subscription renewal," "test clock," "refund test," "decline card test," "checkout E2E." compliance audit — compliance-testing.
>- Test application performance with k6 load/stress/soak/spike scripts and k6 scenarios, Lighthouse CI for Web Vitals, and performance budgets as CI gates. Covers load profiles, custom metrics, bottleneck identification, and Core Web Vitals (LCP, INP, CLS). "k6," "k6 scenarios," "Lighthouse," "Web Vitals," "Core Web Vitals," "performance budget." use visual-testing; designing tests from prod telemetry — use observability-driven-testing.
>- Test native, React Native, hybrid, and Flutter mobile apps with Appium 3.x, Detox, Maestro, and Patrol. Covers device farm setup (BrowserStack, Sauce Labs), gesture simulation, deep link and cold-start testing, push notifications, biometric (Face ID) auth, offline/poor-network simulation, and iOS/Android permission dialog handling. "iOS test," "Android test," "device farm," "deep link," "biometric," "Face ID," "permission dialog," "React Native test." app startup/memory/battery profiling depth — use performance-testing; mobile screenshot diffing — use visual-testing.
>- fixtures, auto-waiting, user-facing locators, parallel execution, CI integration, sharding, and 2025-2026 feature awareness. Includes an explicit "do not" list for AI agents. "Playwright config." audits — use accessibility-testing.
>- Build and visualize QA dashboards and reports with Allure Report, Grafana, and ReportPortal. Covers test execution visualization, stakeholder-facing quality reports, trend/flakiness panels, release-readiness gates, alerting, and CI integration for automated report generation. "Grafana," "ReportPortal," "test results visualization." (this skill builds the panels; qa-metrics decides what they should show).
>- escape rate, MTTR, test execution time trends, automation ROI, quality gates, and SLAs for test suites. Includes metric formulas, realistic targets by company stage, and the action to take when each metric goes red. "defect escape rate." gaps and mutation score — use coverage-analysis.
>- Routing skill of last resort. Takes a plain-language QA situation and names the right 1-2 skills to use and in what order. Use ONLY when the request does not "where do I start," "I'm not sure what to test," "/qa-do," or any vague QA use qa-project-context. If the request clearly matches another skill, invoke that skill directly instead of routing through here.
>- Onboard a new QA engineer to an existing codebase, or audit an existing test walkthrough, test architecture audit, mentorship pairing, and first-test QA on a brand-new project from scratch — use `qa-start`.
>- Create and fill .agents/qa-project-context.md with the project's tech stack, test frameworks, CI/CD pipeline, environments, quality goals, risk areas, team structure, and conventions. This is the one file every other QA skill reads first, so they skip redundant discovery and give context-aware advice.
>- Remove AI-generated patterns from QA reports, bug reports, test summaries, status updates, and quality communications. Detects and rewrites robotic test-result language, template-sounding status updates, inflated severity descriptions, and generic stakeholder reports — without inventing facts. Makes QA writing sound like a real engineer wrote it. "make this sound human," "clean up status update."
>- Analyze escaped defects and test suite health through blameless postmortems. Covers bug pattern analysis, test suite health reviews, 5 Whys root cause analysis, process improvement cycles, and postmortem/retro meeting templates with action item tracking. "improvement cycle." dashboards — use qa-metrics. Not for reviewing existing test code quality — use ai-qa-review.
>- Sequenced launcher that bootstraps QA on a project with no QA in place. Chains qa-project-context → test-strategy → test-planning in one guided run, then points clear match — use qa-do.
>- Validate release readiness with evidence-based go/no-go decisions. Covers go/no-go checklists, smoke test suite design, staged rollout validation, rollback criteria and procedures, and post-deployment verification. Ensures release confidence comes "release checklist," "rollback plan," "staged rollout," "canary deploy." rollout itself — use testing-in-production; scheduled probes that run continuously after release — use synthetic-monitoring; designing new tests from prod telemetry — use observability-driven-testing.
>- Produce a risk matrix or heatmap that quantifies what could break by business impact × probability, runs failure mode analysis on the top items, and maps test coverage to risk zones. Includes stakeholder interview frameworks and continuous assessment," "risk matrix," "risk heatmap," "what could break," "critical paths," "failure modes," "where to focus testing." bug hunting — use exploratory-testing.
>- (DAST), dependency/supply-chain scanning (OSV-Scanner, SBOM, provenance), Semgrep SAST, auth/session tests (JWT, OAuth, RBAC), and XSS/CSRF/SQLi/SSRF Playwright patterns. "auth testing," "OWASP LLM Top 10." Scope is automated scanning + negative-path security tests in CI, not manual penetration testing. pipeline stage wiring and deploy gating mechanics — use ci-cd-integration; purely functional API auth/input tests with no attacker model — see api-testing; testing your product's own LLM features or defending the agent itself (prompt-injection detector, indirect injection, jailbreak red-teaming) — use ai-system-testing.
>- Move quality earlier in the development lifecycle. Covers dev/QA pairing patterns, Three Amigos sessions, TDD facilitation (Red-Green-Refactor), PR review checklists for testability, and Definition of Done with quality gates. Includes shift-left "definition of done," "testability," "quality culture," "QA in sprint planning." test-quality review at scale — use ai-qa-review; multi-quarter QA direction or roadmap — use test-strategy.
>- Bulk-regenerate broken test selectors after a UI refactor or redesign. Detects drift between old and new DOM with an aria-snapshot diff, maps old locators to new equivalents using role-first + region scoping, validates against the new build, and produces a single PR with grouped per-file selector updates and per-change evidence. Assumes Playwright >= 1.50 (trace viewer DOM-snapshot "redesign broke tests," "bulk update selectors," "regenerate selectors after after a framework switch (Selenium to Playwright) — use test-migration.
>- in-process mocks, HTTP stubs (MSW, WireMock), record-replay, fault injection (Toxiproxy), or ephemeral real services (Testcontainers), and how to enforce that no real calls escape in CI. "test isolation," "dependency management," "stub an external API in CI." up a full Docker Compose env or seed data — use test-environments; broad resilience/game-day fault campaigns — use chaos-engineering.
>- Author and maintain MANUAL and hybrid test cases and suites in TestRail, Xray (Jira), Zephyr Scale, and Qase. Covers test-case anatomy (title, preconditions, steps, expected results, test data), suite/section organization, bulk authoring from user stories and acceptance criteria, ambiguous-step linting, CSV/API import-export payloads per tool, requirement traceability and coverage gaps, review hygiene, and when a manual case should graduate to automation. Scale case," "Qase case," "import CSV into TestRail," "lint these steps," "traceability report," "should this be automated." WHAT-to-test selection — that is test-planning.
>- Scheduled probes that run CONTINUOUSLY after release. Covers probe design for critical user journeys, alerting integration, SLA validation, multi-region monitoring," "uptime testing," "scheduled probes," "SLA validation," one-shot post-deploy smoke gate tied to a release — use release-readiness.
>- Design environment strategy for testing across dev, CI, preview, staging, and production — Docker Compose test infrastructure, multi-stage Dockerfiles, seed-data lifecycle, per-PR preview environments, production parity, and external-dependency stubbing at the HTTP boundary. "staging parity," "spin up test infra," "environment tiers." fixture data patterns — use test-data-management; pipeline/Actions config — use ci-cd-integration.
>- Create and manage test data with factory patterns, fixture strategies, data anonymization, and synthetic data generation. Covers Fishery (TypeScript), FactoryBot (Ruby), Factory Boy (Python), database seeding, cleanup strategies, "seed data," "synthetic data," "test database," "data anonymization." environment provisioning and database branching strategy — use test-environments.
>- Migrate a test suite from one framework to another, incrementally and without losing coverage. Covers Selenium→Playwright, Cypress→Playwright, Jest→Vitest, Mocha→Vitest, and Protractor→Playwright, with parallel CI running, locator/assertion translation, and a coverage-parity track.
>- Produce a multi-quarter QA strategy document. Covers scope, risk-based prioritization, test levels (unit/integration/E2E), pyramid analysis, entry/exit criteria, quality KPIs, tool selection rationale, CI scaling levers, and timeline "test strategy," "QA strategy doc," "testing approach," "QA roadmap," risk-based-testing first. test-reliability.
>- environment-aware diagnosis, flake classification, quarantine management, and confidence-scored auto-repair. Goes beyond simple locator fallbacks to cover action-level healing, data healing, and observable repair workflows. locator recovery," "unreliable test," "quarantine flaky test." selector-drift-recovery (this skill heals ONE test at runtime; that one bug reports — use ai-bug-triage.
>- Build a single sprint or release test plan. Covers feature decomposition into testable scenarios, requirements-to-test coverage mapping, effort estimation by test type, prioritization matrices (risk × effort), resource allocation, and `release-readiness`.
>- coverage fingerprinting, AST near-duplicate clustering, CI-history mining for never-failing and flaky tests, prune decision rules (redundant/obsolete/low-value/keep), smoke/core/extended tiering by risk and defect-detection history, and a defensible "what we deleted and why" record. Deletion is destructive — quarantine and human "find duplicate tests," "which tests can we delete," "restructure into smoke/core/extended," "is this test pulling its weight," "shrink the regression suite." is ai-qa-review. Healing one flaky test at runtime — that is test-reliability. Bulk selector regeneration after a UI refactor — that is selector-drift-recovery.
>- canary analysis, guardrail metrics, production smoke tests, and synthetic deploy," "progressive rollout," "guardrail metrics," "dark launch," "safe `observability-driven-testing`.
>- Write effective unit tests with Jest, Vitest, or pytest. Covers the test-doubles taxonomy (stub/spy/mock/fake), Arrange-Act-Assert, coverage threshold configuration and CI gating, snapshot testing, fake timers, and mutation testing with Stryker/mutmut. "test doubles," "mutation testing," "fake timers," "snapshot test." AI generating the test code for you — use ai-test-generation; auditing existing tests for smells — use ai-qa-review; browser/component rendering assertions — use cypress-automation or visual-testing.
>- Implement visual regression testing with Playwright screenshots, Chromatic, Percy, and Argos CI. Covers baseline management, diff threshold tuning, dynamic content masking, responsive viewport testing, and review/approval workflows. "update baselines," "Chromatic," "percy snapshot," "argos screenshot." selector-drift-recovery; cross-browser rendering matrices — use cross-browser-testing; general Playwright test structure — use playwright-automation.
Design, implement, review, or troubleshoot safe refinement of editable 2D canvas strokes. Use for handwriting smoothing, automatic text layout cleanup, optional font-guided handwriting normalization, freehand cleanup, geometric shape snapping, diagram cleanup, stroke-style normalization, semantic stroke replacement, and previewable or undoable refinement pipelines in whiteboards, note apps, drawing tools, annotation systems, and pen-input SDKs. Do not use for general raster image editing, prose rewriting, or renderer bugs unrelated to stroke transformation.
| Generate multiple app, favicon, or website icon candidates with either the local QM Icon Studio CLI or Codex built-in image generation with reference icons, then present a contact sheet so the user can choose. Use when building websites or apps and needing reusable icon options.
> 🛒 E-commerce & Retail skill suite derived from alirezarezvani/claude-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
> 📈 SEO & Content Marketing skill suite derived from ComposioHQ/awesome-claude-skills. Keyword research, content audits, SERP analysis, technical SEO and content strategy. Provides 10 specialised commands for seo, content, marketing workflows.
> 🔒 Security & Compliance skill suite derived from ComposioHQ/awesome-claude-skills. Security audits, vulnerability management, GDPR/SOC2/ISO27001 compliance and incident response. Provides 10 specialised commands for security, compliance, gdpr workflows.
> 🔒 Security & Compliance skill suite derived from travisvn/awesome-claude-skills. Security audits, vulnerability management, GDPR/SOC2/ISO27001 compliance and incident response. Provides 10 specialised commands for security, compliance, gdpr workflows.
> 🤖 Data Science & AI/ML skill suite derived from ComposioHQ/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
兩模式工具 — Mode A 掃 codebase / SKILL.md / prompt 找重複/命名/模組/過長 4 類技術債;Mode B 跑 repo audit 檢查私公版 sync / release 一致性 / cross-link / 版本標記漂移 + 開源交接健檢 5 維度。觸發詞:「清理 code」「找重複」「重構」「模組化」「review codebase」「掃 prompt」「我這 skill 寫好亂」「prompt 太長拆一下」「跑大專案怕亂」「audit 我的 repo」「check release 一致性」「私公版 diff」「版本對齊」「release ship 前盤點」時觸發。
> IDE-grade project scaffolding wizard for creating new projects with comprehensive configuration. Flutter, Expo, FastAPI, Django, Express, NestJS, Go/Gin, Rust/Axum, Spring Boot, Hono, Elysia, Chrome Extensions, VS Code Extensions, Tauri desktop apps, serverless functions, and more. Provides WebStorm/PyCharm-level project creation with interactive SDK selection, framework a framework application, initializing a codebase, scaffolding boilerplate, building extensions, creating mobile/desktop/web apps, setting up monorepos, or making static websites/landing pages.
> 🛒 E-commerce & Retail skill suite derived from alirezarezvani/claude-code-skill-factory. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
> ☁️ DevOps & Cloud Infrastructure skill suite derived from alirezarezvani/claude-code-skill-factory. CI/CD pipelines, container orchestration, IaC, monitoring and incident response. Provides 10 specialised commands for devops, cloud, docker workflows.
| Searches the live web via Nimble APIs to monitor competitors and produce a structured intelligence briefing. Runs parallel searches for news, product launches, hiring signals, and funding — then compares against previous findings to highlight only what's new. Use this skill when the user asks about competitors, competitive intelligence, doing", "competitor update", "competitor news", "competitive landscape", "market intel", "what's new with [company]", "track [company]", "competitor briefing", "who's making moves", "competitive analysis", "losing deals to [company]", "battlecard". Also use before board meetings or strategy sessions when the user wants competitive context. Requires the Nimble CLI (nimble search, nimble extract) for live web data. Do NOT use for single-company deep dives (use company-deep-dive), meeting prep with attendees (use meeting-prep), or non-business queries.
| Validates practitioner credentials and license status against the NPI registry. Cross-references specialties, credentials, and practice addresses against official records. Returns Verified / Partially Verified / Unverified / Flagged per practitioner with mismatch details and source URLs. licenses", "verify NPI numbers", "cross-check credentials against NPI", "compliance audit on providers", "are these practitioners still licensed", "validate my provider list". Accepts CSV, Google Sheet URL, or pasted data. Do NOT use for extracting providers from practice URLs — use healthcare-providers-extract instead. Do NOT use for filling data gaps — use healthcare-providers-enrich instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
| web-data agents, scrapes into Delta tables, and produces an AI/BI dashboard and/or a deployed Databricks App — a table → dashboard → app workflow, for production data products or quick demos. Use whenever a request pairs live or scraped web data WITH a Databricks destination — e.g. "scrape Amazon/Walmart prices into a Delta table and build a dashboard", "load Zillow/Instagram/Maps/search results into Databricks and build a dashboard or app", "showcase Nimble + Databricks to a prospect". Prefer it over nimble-web-expert or competitor-intel when the data lands in Databricks. Do NOT use for one-off web fetches or CSV exports with no Databricks destination — use nimble-web-expert instead. Do NOT use for competitor or company research briefings — use competitor-intel or company-deep-dive instead. Do NOT use for generic Databricks work with no Nimble/web-data angle — use the official databricks-* skills instead.
| Fills gaps in existing healthcare practitioner lists — adds missing phone numbers, credentials, specialties, contact info, education, reviews, and regulatory data. to these doctors", "complete this practitioner database", "enrich CRM export", "fill gaps in my provider data", "supplement this healthcare list". Accepts CSV, Google Sheet URL, or pasted data. Searches for each provider's practice website, extracts missing fields, and enriches with reviews, clinical trials, and accreditation via WSAs. Do NOT use for extracting providers from practice URLs — use healthcare-providers-extract instead. Do NOT use for validating credentials — use healthcare-providers-verify instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
| Extracts structured practitioner data from healthcare practice websites. Returns names, credentials, specialties, contact info, and education for every provider on a practice's site. Use when user asks to extract, pull, or list doctors, providers, or staff from", "who are the providers at", "build a provider database", "list all doctors at", "scrape the team page", "get practitioner data from". Accepts practice URLs (pasted, CSV, Google Sheet) or discovers practices via Google Maps when given specialty + location. Single sites or 100+ URLs. Do NOT use for filling data gaps — use healthcare-providers-enrich instead. Do NOT use for credential validation — use healthcare-providers-verify instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
| Finds qualified candidates for a role by searching LinkedIn, Indeed, GitHub, and other professional platforms using Nimble Web Search Agents. Accepts a job description, role title, or freeform request and returns a ranked candidate list with profiles, skills, and contact signals. Use this skill when the user wants to find, source, or recruit candidates for "who can I hire for", "find me a [role]", "recruiting for", "talent search", "find a [role] in [city]", "build a candidate list", "sourcing for [role]", "who's available for", "find potential hires". Also triggers on a pasted job description followed by a sourcing request. Do NOT use for job market research or salary benchmarking — use market-finder instead. Do NOT use for researching a single known person — use company-deep-dive or meeting-prep instead.
| Discovers all businesses of a given type in any geography using Nimble a user's existing list (Google Sheet, CSV, inline) against fresh discovery, categorizing entries as matched, discovered-only, or reference-only. Vertical presets (Healthcare, SaaS, Restaurants, Legal, Auto/Home) auto-select WSA routing. "account universe", "how many X in Y", "TAM for", "discover all", "audit my list", "compare against", "what am I missing", "gap analysis", "verify my business list", "prospect list". Do NOT use for competitor monitoring — use competitor-intel instead. Do NOT use for company deep dives — use company-deep-dive instead. Do NOT use for neighborhood-level exploration with social enrichment — use local-places instead.
| "tell me about [company]", "research [company]", "what does [company] do", "who is [company]", "look up [company]", "company deep dive", "due diligence on [company]", "background on [company]", "dig into [company]", "analyze [company]", or evaluating a company for investment, partnership, or sales. MUST be used instead of answering from memory — fetches real-time web data (funding, leadership changes, product launches, news) your training data lacks. Use even for well-known companies. Produces a sourced 360° report covering funding, leadership, product/tech, market position, news, and strategic outlook with dates and URLs. Do NOT use for multi-company competitor monitoring (use competitor-intel) or meeting prep with attendees (use meeting-prep).
| Scans Reddit, X, LinkedIn, Instagram, TikTok, YouTube, blogs, news, and review platforms for brand mentions — scoring each one across four dimensions (reach, velocity, sentiment, and risk-topic match) so marketing teams can respond before a mention spirals. Source LinkedIn, G2, HN, and trade press; consumer brands get TikTok, Instagram, X, and YouTube. Every mention is bucketed into Crisis / Watch / Engage / Log with a suggested owner and response window. Powered by Nimble. Use when asked to "monitor brand mentions", "scan for brand mentions", "what are people saying about [brand]", "brand monitoring", "social listening", "run a brand sweep", "find high-risk mentions", or any variation of brand monitoring across web and social. Do NOT use for one-time company research or due diligence — use company-deep-dive instead. Do NOT use for competitor messaging/positioning analysis — use competitor-positioning instead. Do NOT use for funding/hiring/business signals on a competitor — use competitor-intel instead.
| Tracks how competitors position themselves online — scrapes homepages, features, pricing, and blogs to extract messaging, value props, CTAs, and pricing models. Compares against previous snapshots to surface positioning shifts with before/after tracking. Produces messaging matrices, content gap analysis, white space maps, and battlecard inputs. Use when anyone asks about competitor messaging, positioning, website copy, positioning", "messaging comparison", "content gap", "what changed on their site", "competitor homepage", "landing page teardown", "marketing battlecard", "how do they describe their product", "share of voice", "counter-messaging". Do NOT use for business signals like funding/hiring (use competitor-intel), single-company deep dives (use company-deep-dive), or meeting prep (use meeting-prep).
| Monitors press, social, developer communities, and competitor channels from any point around a product launch — tracking sentiment, flagging mischaracterizations, surfacing competitor responses, and recommending actions in real time. Nimble reaches sources that block standard agents — including paywalled press, Reddit, LinkedIn, JavaScript-heavy pages, and live community forums — while Claude triages every signal by urgency. Delivers a Response War Room dashboard with a live signal feed, mischaracterization tracker, competitor response panel, and sentiment velocity chart. Use when asked to "monitor this launch", "track the launch", "what's being said about the launch", "flag any mischaracterizations", "competitor response to the launch", "post-launch coverage", "check press coverage for the launch", or "what's the reaction to the announcement". Do NOT use for ongoing brand monitoring unrelated to a launch — use brand-mention-monitor instead. Do NOT use for ongoing competitor intelligence unrelated to a specific launch window — use competitor-intel instead.
| Discovers, enriches, and scores local businesses in any neighborhood using Nimble Web Search Agents (WSAs) and web data. Returns a structured, ranked list with confidence scores, reviews, social presence, and an interactive map. Use this skill when the user asks about local businesses, places, or "map every bar in", "local businesses in", "discover gyms near", "what restaurants are in", "neighborhood guide for", "local places in", "find places near", "list all [business type] in [area]", "best [type] near [location]", "build a neighborhood guide", "local place search". for live web data via WSAs and fallback search. Do NOT use for competitor analysis or monitoring (use competitor-intel), company research or deep dives (use company-deep-dive), general web search or extraction (use nimble-web-expert).
Answers built from the skills we actually parsed.