Agent skills for Devin Desktop

LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI.

Solve Linear Programming (LP), Mixed-Integer Linear Programming (MILP), and Quadratic Programming (QP, beta) with the Python API.

API completa de cupons de desconto da Tray (recurso `discount_coupons`).

Mine transcripts, .agents, bd, and git for skill diffs, bd updates, or

Adds developer-authored annotations to the gauntlet knowledge base.

Orchestrate type-flexible media curation from assessment and planning through acquisition, tagging/transcription, provenance, and…

Scaffold a PROF-S source/curator profile for a research-corpus discovery curator (account/feed) from its handle.

Builds comprehensive design systems and design bibles with production-ready CSS.

Expert personal finance coach with deep knowledge of tax optimization, investment theory (MPT, factor investing), retirement mathematics…

GitHub PR workflow automation including fetching unresolved comments, resolving review threads, and parallel comment resolution.

Maps a workflow exactly as it happens today and puts a sourced price on every step — touch time, handoffs, delay, and failure/rework…

Summarizes the cursor-companion Cursor pack and how its runtime assets relate to repo-root skills.

Create custom job steps for B2C Commerce batch processing.

Analyzes customer concentration across revenue, gross profit, and cash flow to quantify churn risks and build structured diversification…

Analyzes commercial contract terms and payment schedules to project monthly cash flows, identify peak cash funding exposure, and…

Create a customer journey map across stages, touchpoints, actions, emotions, and metrics.

Multi-source research on a customer question or topic with source attribution.

Analyzes customer cohorts and recurring revenue metrics to diagnose churn, evaluate GRR/NRR, and prioritize renewal strategies.

Customer success reconnaissance — audit current onboarding completion, health signals, NRR, churn patterns, and CS motion.

Synthesize customer voice; never infer protected traits.

Identify customers who have not ordered in N days, export a re-engagement list, and tag them in Shopify.