productivity▌

Text-to-sound effect generation with looping, duration control, and prompt adherence tuning. \n \n Converts natural language descriptions into sound effects via ElevenLabs API; supports ambient sounds, UI effects, cinematic impacts, and audio textures \n Configurable duration (0.5–30 seconds), prompt influence (0–1 scale for adherence strictness), and seamless looping for v2 model \n 20+ output formats including MP3, PCM, Opus, and μ-law across various sample rates and bitrates \n Requires ELEVE

Capture, analyze, and document network protocols through packet inspection and binary dissection. \n \n Covers traffic capture with Wireshark, tcpdump, and mitmproxy, including transparent interception and ring-buffer rotation for continuous monitoring \n Provides protocol analysis techniques: display filtering, stream following, field extraction, and TLS decryption with pre-master-secret logs \n Includes binary protocol parsing patterns (length-prefixed, TLV, fixed-header) with Python struct un

Configure Istio routing, load balancing, circuit breakers, and canary deployments for service mesh traffic policies. \n \n Covers four core resources: VirtualService for host-based routing, DestinationRule for service-level policies, Gateway for ingress/egress, and ServiceEntry for external services \n Includes templates for basic routing, canary deployments (weighted traffic splits), circuit breakers with outlier detection, retries with timeouts, traffic mirroring, and fault injection \n Suppor

Transactional email API with single/batch sending, inbound email handling, templates, and webhook event tracking. \n \n Supports single and batch email sends with idempotency keys to prevent duplicates on retry; batch mode is atomic but lacks attachment and scheduling support \n Includes webhook verification, inbound email receiving with separate body retrieval, and template management with variable substitution \n Node.js SDK returns { data, error } tuples instead of throwing exceptions; always

Structured frameworks for navigating difficult conversations and delivering constructive feedback effectively. \n \n Two core models: Preparation-Delivery-Follow-up (three-phase conversation structure) and Situation-Behavior-Impact (SBI) feedback technique that focuses on observable facts rather than assumptions \n Covers preparation strategies including issue analysis, goal definition, and emotional regulation to reduce defensiveness and improve outcomes \n Delivery phase includes neutral openi

Review pull requests against repository standards. Two-phase process: automated validation, then manual content review.

Gather the information needed to proceed with a task through structured, focused dialogue.

Search for products, track launches, and monitor Product Hunt activity via the GraphQL V2 API.

Query your Google NotebookLM notebooks directly from Claude for source-grounded, citation-backed answers. \n \n Automates browser-based interaction with NotebookLM to retrieve answers exclusively from your uploaded documents, eliminating hallucinations through document-only responses \n Manages notebook library with metadata tagging, search, and activation; supports smart discovery of notebook content when adding new sources \n Handles persistent authentication via one-time Google login setup wi

ClinPGx (Clinical Pharmacogenomics Database) is a comprehensive resource for clinical pharmacogenomics information, successor to PharmGKB. It consolidates data from PharmGKB, CPIC, and PharmCAT, providing curated information on how genetic variation affects medication response. Access gene-drug pairs, clinical guidelines, allele functions, and drug labels for precision medicine applications.