aznatkoiny

@aznatkoiny source repo

19 skills
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6 hours ago last updated

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Deep Learning · aznatkoiny bundle
Comprehensive guide for Deep Learning with Keras 3 (Multi-Backend: JAX, TensorFlow, PyTorch). Use when building neural networks, CNNs for computer vision, RNNs/Transformers for NLP, time series forecasting, or generative models (VAEs, GANs). Covers model building (Sequential/Functional/Subclassing APIs), custom training loops, data augmentation, transfer learning, and production best practices.

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X402 Payments · aznatkoiny bundle
Build applications using the x402 protocol — Coinbase's open standard for HTTP-native stablecoin payments using the HTTP 402 status code. Use this skill when: - Creating APIs that require USDC payments per request (seller/server side) - Building clients or AI agents that pay for x402-protected resources (buyer/client side) - Implementing MCP servers with paid tools for Claude Desktop - Adding payment middleware to Express, Hono, or Next.js applications - Working with Base (EVM) or Solana (SVM) payment flows - Building machine-to-machine or agent-to-agent payment systems - Integrating micropayments, pay-per-use billing, or paid API access Triggers: x402, HTTP 402, payment required, USDC payments, micropayments, pay-per-use API, agentic payments, stablecoin payments, paid API endpoint, paywall middleware

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Openclaw Setup · aznatkoiny bundle
Set up, install, configure, and deploy OpenClaw (formerly ClawdBot/MoltBot) — a personal AI assistant that runs on your own devices and connects to messaging channels. Use when users ask to "set up OpenClaw," "install ClawdBot," "install MoltBot," "deploy a personal AI assistant," "configure OpenClaw on Mac," "deploy OpenClaw to VPS," "set up OpenClaw on Hostinger," "connect OpenClaw to Telegram," "configure iMessage with OpenClaw," or any variation involving OpenClaw installation, gateway configuration, channel setup, Anthropic auth, or security hardening. Also triggers on "openclaw onboard," "openclaw doctor," "openclaw security audit," troubleshooting OpenClaw deployments, OpenClaw security, OpenClaw cost control, or ClawHub skills safety.

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Resume Updater · aznatkoiny bundle
Conversational skill that interviews the user to capture professional experience and build/update their career-profile.json. Use when the user says "update my resume", "add my recent experience", "refresh my profile", "capture my work history", "build my resume", "add a new job to my resume", or wants to create or modify their professional profile data. When to Use: - User wants to add new experience, skills, projects, or achievements - User wants to create their career profile from scratch - User wants to update existing profile entries - User mentions they changed jobs, got promoted, or completed a project When NOT to Use: - User wants to generate/format a resume (use /resume-generator command) - User wants career advice (use career-director agent) - User wants to search for jobs (use job-search agent)

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Reinforcement Learning · aznatkoiny bundle
Reinforcement Learning best practices for Python using modern libraries (Stable-Baselines3, RLlib, Gymnasium). Use when: - Implementing RL algorithms (PPO, SAC, DQN, TD3, A2C) - Creating custom Gymnasium environments - Training, debugging, or evaluating RL agents - Setting up hyperparameter tuning for RL - Deploying RL models to production

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Cpp Reinforcement Learning · aznatkoiny bundle
C++ Reinforcement Learning best practices using libtorch (PyTorch C++ frontend) and modern C++17/20. Use when: - Implementing RL algorithms in C++ for performance-critical applications - Building production RL systems with libtorch - Creating replay buffers and experience storage - Optimizing RL training with GPU acceleration - Deploying RL models with ONNX Runtime

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Consulting Frameworks · aznatkoiny bundle
Core consulting thinking frameworks and methodologies for structuring business problems, communicating findings, analyzing strategy, building financial models, and designing operations. Use when any agent or command needs to apply MECE decomposition, pyramid principle, hypothesis-driven analysis, issue trees, SCR communication, Porter's Five Forces, TAM/SAM/SOM market sizing, value chain analysis, NPV/IRR decision criteria, build/buy/partner evaluation, RACI matrices, synergy sizing, valuation triangulation, price-volume-mix decomposition, discount waterfalls, or any standard consulting framework. This skill provides procedural guidance — not just framework names, but how to apply them correctly.

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Real Estate Investment · aznatkoiny bundle
End-to-end real estate investment analysis skill. Use when users ask to analyze a property deal, run the numbers on a rental, evaluate real estate investments, build a pro forma, compare markets, calculate cap rate, cash-on-cash return, IRR, NOI, DSCR, equity multiple, or GRM. Also triggers on: BRRRR analysis, house hack evaluation, short-term rental (STR/Airbnb) analysis, commercial underwriting, multifamily deal analysis, syndication waterfall modeling, Monte Carlo simulation, sensitivity analysis, 1031 exchange planning, cost segregation, depreciation, real estate tax strategy, market comparison and scoring, rental property screening, deal screening, investor report generation, real estate financial modeling, rent-to-price analysis, development feasibility, value-add underwriting, API integration for real estate data (Census, Redfin, Rentcast, Mashvisor, AirDNA, ATTOM), or any real estate investment financial analysis task.

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Ship · aznatkoiny
Package and release a verified forge-built plugin: claude plugin validate --strict, frontmatter/scoped-name/freshness lints, README with the permission story, versioning decision (SHA vs pinned semver), distribution menu (skills-dir, private marketplace, community), and installing the trace-capture flywheel. Use when the user says ship, release, publish, or distribute the plugin.

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Forge · aznatkoiny bundle
Build a new Claude Code plugin eval-first — interview, design contract, frozen eval suite, headless goal-loop build, verified ship. Use for "build me a plugin", "plugin for X", "forge a plugin", "resume forge", "forge status". Single entry point for the plugin-forge pipeline; resumable across sessions via .forge/state.json in the target project.

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Verify · aznatkoiny
Verify a forge-built plugin before shipping: smoke matrix, fresh pass^k trials, holdout tranche, trigger evals on default AND crowded targets, token budget check, and triage of sampled failures. Use after a forge build loop has gone green (.forge/state.json phase smoke or verify) and before /plugin-forge:ship.

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Arm Evals · aznatkoiny
Arm a forge eval suite into a frozen build contract. Run when .forge/state.json shows phase=evals, after /plugin-forge:build-evals; re-run after any suite edit or triage grader-error to re-version and re-freeze. Four gates in order via forge-eval: reference (every task's reference solution passes its own graders), red (no-plugin baseline; tasks that pass bare carry no signal), metaeval (judge vs human agreement >= 0.85 against evals/labels/labels.jsonl), then sha256 FREEZE into .forge/freeze.json with suite_version vN and phase -> armed. Refuses to freeze uncalibrated judges, unresolved no-signal tasks, or a suite with pending change requests.

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Build Loop · aznatkoiny
Launch the isolated build-until-green loop for a forge project. Run when .forge/state.json shows phase=armed, after /plugin-forge:arm-evals. Walks the preconditions checklist (trust dialog, hooks enabled, MCP OAuth preflight for live servers, worktree base ref, permissions.allow for a long unattended run), then starts bin/forge-build in background Bash: a git worktree seeded with the frozen suite plus a headless /goal session that iterates until forge-eval prints the FORGE_EVAL scoreboard line with RESULT=PASS without touching evals/. Tails progress, applies the StopFailure resume-not-respawn recipe on rate_limit/overloaded, and on PASS hands off to /plugin-forge:verify. Use forge-build --no-goal when hooks are disabled.

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Build Evals · aznatkoiny bundle
Generate a runnable eval suite (tasks, graders, judges, targets) for a Claude Code plugin BEFORE it is built. Use for "build evals", "eval suite for my plugin", "test my plugin", "retrofit evals", "mine traces into tasks". In the forge pipeline this is the evals phase; retrofit and mine modes run standalone against any existing plugin.

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Skill Forge · aznatkoiny
Research-driven skill creation workflow. Guides you through intent capture, web research, prompt optimization, multi-agent deep research, and skill packaging — all grounded in real sources, not training data. Also invoked by plugin-forge's write-contract and build-evals for domain grounding.

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Write Contract · aznatkoiny bundle
Author the Primitive Decision Record (design/CONTRACT.md) during the forge pipeline's contract phase: per-capability primitive compositions with six-step consequence chains (trigger, context economics, enforcement, failure & degradation, testability, distribution), at least one rejected alternative per capability, the full plugin slot ledger, a cost sheet, and the eval task IDs that feed build-evals. Use for: write the contract, draft the PDR, design the primitive composition, reopen an approved contract with --revise, or fix a BLOCKED spec-critic report.

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Prompt Optimizer · aznatkoiny bundle
Optimize, rewrite, or create prompts for Claude models. Use when the user wants to improve an existing prompt, turn a rough thought dump into a well-structured prompt, write a prompt from scratch, craft a Deep Research request, or tune a prompt for a specific model (Fable 5, Mythos 5, Opus 5, Opus 4.8, Sonnet 5, Haiku 4.5), effort level, or platform (Claude Code, Cowork, claude.ai chat, API). Also use when migrating prompts between model generations or when a prompt is underperforming.

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Primitive Catalog · aznatkoiny bundle
Decision cards for selecting Claude Code primitives while designing a plugin - skill vs hook vs subagent vs agent team vs MCP server vs bundled script vs LSP vs workflow vs loop. Load during any plugin architecture or composition discussion, when writing a Primitive Decision Record (design/CONTRACT.md), filling six-step consequence chains (trigger, context economics, enforcement, failure modes, testability, distribution), choosing who holds the plan, picking a loop primitive (/goal vs Stop hook vs /loop vs schedule), or deciding MCP-versus-bundled-script. Cards carry exact syntax, version floors, context costs, failure modes, and the grader type that can observe each primitive.

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Generation Standards · aznatkoiny bundle
House style for every file plugin-forge emits into a generated plugin. Load before writing or reviewing any generated SKILL.md, agent, hooks.json, hook script, .mcp.json, plugin manifest, marketplace entry, README, or settings snippet — and before ship runs the freshness-guard sweep. Covers description discipline, invocation-control decisions, paired-path allowed-tools, persistent-state placement, hook output discipline, degrees-of-freedom mapping, and the deprecated-shape greps.

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19 published skills