Results for “discovery”

Run a customer journey mapping workshop with adaptive questions to map stages, actions, emotions, pain points, and opportunities for a persona and scenario.

Plan and facilitate design sprints from challenge framing through prototype testing, using a structured 5-day process with variations for mini, remote, and discovery sprints.

Guides authorized hardware and embedded interface security research including UART/JTAG discovery, debug pad triage, secure boot assessment, and offline firmware extraction support.

Finds, scores, and reaches high-value contacts through social graph analysis and warm path discovery, with channel-specific outreach drafting.

Enables AI agents to post, reblog, tag, and interact on the moltr social platform via a CLI tool, with feeds, discovery, asks, and profile management.

Discovers and lists all URLs on a website without extracting content, using the Tavily CLI. Faster than crawling, with options for depth, filtering, and natural language instructions.

Discovers and installs agent skills from the open ecosystem using the Skills CLI, helping users find capabilities for tasks like web development, testing, and design.

Searches local, marketplace, GitHub, and web sources for existing skills before creating a new one, then ranks and vets candidates to avoid duplication.

Manages Ray clusters, jobs, Serve deployments, and distributed workloads via the Dashboard API and CLI, with discovery-first checks and safety guardrails.

Provides Git-like version control for ArcGIS web maps, wrapping the gitmap CLI to expose branch, commit, diff, push/pull, and map discovery as callable tools.

Behavior-driven development: Discovery → Formulation → Automation. Use when the user wants to build features or fix bugs via Gherkin scenarios and the BDD lifecycle, or mentions BDD/Gherkin/Executable Specifications. Delegates test implementation to /mattpocock:tdd.

Stress-test a feature idea for an existing product by surfacing risky assumptions across Value, Usability, Viability, and Feasibility using multi-perspective devil's advocate thinking.

Analyzes Android apps to identify user workflows for AppFunctions, generates Kotlin code to expose them to the Android system, and refines KDoc documentation for AI agent compatibility.

Integrates third-party APIs by discovering available SDKs, getting integration guidance, and looking up models and endpoints via the context-matic MCP server.

Builds an external attack surface management (EASM) program using Shodan, Censys, and ProjectDiscovery tools for asset discovery, subdomain enumeration, service fingerprinting, and exposure scoring.

Consume and produce STIX/TAXII 2.1 cyber threat intelligence feeds using Python, including server discovery, collection polling, object parsing, and SIEM/TIP integration.

Guides the use of the asc CLI for App Store Connect, covering command discovery, canonical verbs, flags, output formats, authentication, and Apple Ads operations.

Manages Neon serverless Postgres databases via the neonctl CLI and Neon API, covering projects, branches, databases, roles, endpoints, and compute scaling with a discovery-first workflow.

Monitors and analyzes Qase test management projects, test cases, runs, and defects via the Qase API, with a discovery-first workflow to avoid assumptions.

Reads and audits Auth0 tenant configuration, applications, connections, rules, actions, users, and logs using the Management API with a discovery-first, read-only approach.

Use when a high-priority signal needs to reach the operator but doesn't fit the current conversation (off-hours wake, urgent error needing eyes, scheduled-tick discovery worth surfacing now). Routes via MIMIR_OPERATOR_ALERT_CHANNEL.

Discover online MetaBots and their services, browse Bot pages in a local browser, and maintain local directory sources for the MetaWeb network.

Intelligent hybrid search combining web and academic sources via AIsa Smart Search endpoint. Best when you need both web and scholarly results. Use when: the user needs web search, research, source discovery, or content extraction.

Tracks indicators of compromise from initial discovery through validation, enrichment, deployment, monitoring, and retirement to maintain a high-quality, actionable indicator database.

Monitors Certificate Transparency logs to detect unauthorized certificate issuance, discover subdomains, and alert on suspicious certificate activity for owned domains.

Discovers and installs agent skills from the open ecosystem using the Skills CLI, helping users find capabilities for tasks like React performance, PR reviews, and changelogs.

Scans a project for stack signals and pain points, searches the skills-hub registry and local skills, scores candidates, and presents a ranked shortlist with install commands.

Manages NS1 DNS zones, records, filter chains, monitoring jobs, and traffic steering via the NS1 API, with a discovery-first workflow for inspection and troubleshooting.

Manages and analyzes incidents, post-incident reviews, and collaboration workflows in Allma via its REST API, covering incident discovery, timeline tracking, stakeholder communication, and retrospective analysis.

Use when designing AI product first-run or blank-slate UX — chat empty state, example prompts, capability discovery, templates, nudges, or follow-ups. Trigger on "users don't know what to ask", onboarding, suggestion chips, or discoverability.

Deep research using Perplexity Sonar models via AIsa API. Provides synthesized answers with citations. Supports 4 models from fast to exhaustive deep research. Use when: the user needs web search, research, source discovery, or content extraction.

Use this skill when a user asks for SEO keyword research, keyword discovery, search volume analysis, keyword difficulty, search intent mapping, topic clusters, content opportunities, competitor keyword gaps, or a keyword strategy for a domain, URL, product, market, or seed topic. When a website is provided, crawl and interpret the site first, then use AIsa API access to DataForSEO keyword, SERP, trend, Labs, and OnPage endpoints plus AIsa LLM reasoning to find non-brand keyword opportunities. Use when: the user needs web search, research, source discovery, or content extraction.

Design lean startup experiments (pretotypes) for a new product by creating XYZ hypotheses and suggesting low-effort validation methods like landing pages, explainer videos, and pre-orders.

Generate an OpenAPI 3.1 specification from a browser-trace capture by analyzing observed HTTP traffic, templating URLs, and inferring JSON schemas from request/response samples.

Finds, scores, and reaches high-value contacts through social graph analysis and warm path discovery, generating personalized outreach drafts for email, LinkedIn, and X.

Guides users through an interactive tour of the context-matic MCP server, explaining its purpose and demonstrating all available APIs with live tool calls.