ai coder

Professional C: memory ownership, defensive programming, build hygiene, and systems-level correctness. Use when writing, reviewing, or maintaining C code.

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Configure Babel: presets, plugins, env-specific builds, polyfills, and performance. Use when maintaining Babel-based toolchains or writing custom transforms.

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Master Bitbucket: Pipelines CI/CD, pull request workflow, branch permissions, and Jira integration. Use when building Bitbucket Pipelines or managing Bitbucket repos.

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Handle professional audio tasks with recording, editing, mixing basics, formats, and loudness standards.

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Generate B2B pipeline — campaign strategy, multi-channel programs, SDR alignment, and pipeline measurement.

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Bayesian data analysis — priors, likelihoods, posterior computation, model comparison, and honest reporting.

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Analyzing behavioral experiment data — RT/accuracy preprocessing, mixed-effects models, and robust inference.

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End-to-end bioinformatics analysis — sequence QC, alignment, and omics pipelines for research data.

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Build complete brand identity systems with strategy, visual language, voice, and usage guidelines.

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Caddy guidance — automatic HTTPS, Caddyfile patterns, reverse proxying, and simple production deployments.

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Build and run affiliate programs — recruitment, commission structures, partner enablement, and fraud prevention.

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Idiomatic Angular: standalone components, signals, RxJS patterns, DI, and enterprise structure. Use when writing, reviewing, or structuring Angular applications.

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Designing alert rules that fire when it matters — thresholds, burn rates, and routing — for any monitoring stack.

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Build with AI21 Labs' models — Jurassic for generation and strong task-specific models for enterprise use.

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Craft effective AI image prompts with structured syntax, style control, and iterative refinement techniques.

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Evaluate AI agents rigorously — task benchmarks, success criteria, failure taxonomy, cost/latency tracking, and regression testing. Use when you need to know whether an agent actually works, not whether it demos well.

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Manage fleets of local AI agents: lifecycle, monitoring, task assignment, and resource control. Use when running multiple CLI agents via an orchestrator like AI Maestro.

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Generate UI with AI tools effectively: prompt structure, design-system grounding, iteration technique, and evaluating output quality. Use when using AI to create interfaces.

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Proven prompts behind viral AI-made videos across 4 models — Claude, Muse AI, ChatGPT, Gemini. Browse by model, category, or tech tag, copy a creator's prompt, adapt it to your own model and renderer. Use when you need a motion-graphic, explainer visual, 3D scene, interactive animation, or AI video-gen prompt that already worked in the wild.

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Build with BAAI's Aquila models — open bilingual models from Beijing's academy with research transparency.

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Build streaming AI user interfaces with AI SDK patterns — message rendering, tool-call displays, loading states, and optimistic updates. Use when creating chat UIs that stream model output and show agent activity.

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Manage fleets of local AI agents — spawn, supervise, route tasks, monitor progress, and shut down workers cleanly. Use when coordinating multiple agents on parallel workstreams.

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Architect persistent, searchable memory for agents — episodic, semantic, and procedural stores with retrieval, consolidation, and forgetting policies. Use when designing how an agent remembers across sessions.

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Design memory for AI agents — short-term context, long-term stores, retrieval strategies, and memory-augmented reasoning. Use when an agent must remember facts, learn preferences, or stay coherent across sessions.

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