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Agent skills by AnastasiyaW
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Repositories by AnastasiyaW
Skills by AnastasiyaW, ranked
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Find likely software bugs in a codebase, rank concrete bug candidates, and prove or reject them with focused regression tests before proposing a fix. | AnastasiyaW/ | 154 | — | ~4.1k | Automated safety check: Pass | MIT | today |
| 2 | A skill your agent uses when implementing Motion or Framer Motion in React/JavaScript: interactive UI components, micro-interactions, gestures, layout or page transitions, and scroll-based animation. | AnastasiyaW/ | 154 | 1 repo | ~5.2k | Automated safety check: Pass | MIT | today |
| 3 | Plan-based verification - freeze acceptance criteria before building, then verify after with an independent fresh-context agent (the builder must not verify their own work). | AnastasiyaW/ | 154 | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 4 | Написание и запуск Claude Code dynamic workflows (JS-оркестратор субагентов). | AnastasiyaW/ | 154 | — | ~3.8k | Automated safety check: Pass | MIT | today |
| 5 | A skill your agent uses when: NotebookLM, notebooklm MCP, large documentation sets, courses, books, papers, or citation-backed research are mentioned. | AnastasiyaW/ | 154 | — | ~2.4k | Automated safety check: Warn | MIT | today |
| 6 | Validate a proposed DeepSeek API integration before any key or project context is sent: check thinking-mode tool-call history, strict-schema assumptions, bounded output, and provider data boundaries. | AnastasiyaW/ | 154 | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 7 | Discover, search, and selectively restore Claude desktop app sessions hidden across multiple accountIds. | AnastasiyaW/ | 154 | — | ~2.4k | Automated safety check: Pass | MIT | today |
| 8 | Turn captured user-correction signals into durable rules (learn-from-corrections loop). | AnastasiyaW/ | 154 | — | ~2k | Automated safety check: Pass | MIT | today |
| 9 | Scaffold a feature narrative in an existing project layer with Design, Plan, Verify, and Conclusion sections. | AnastasiyaW/ | 154 | — | ~3.4k | Automated safety check: Pass | MIT | today |
| 10 | 10.Repo Map Ranked symbol map of a codebase within a token budget — a compact "what matters in this repo" before reading files. | AnastasiyaW/ | 154 | — | ~1.5k | Automated safety check: Pass | MIT | today |
| 11 | A skill your agent uses when work moves between Claude Code and Codex, a session resumes from a handoff, or an agent may rewrite an existing implementation. | AnastasiyaW/ | 154 | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 12 | Score a project's agent harness across 5 subsystems (Instructions / State / Verification / Scope / Lifecycle), identify the bottleneck, and produce a prioritized improvement plan. | AnastasiyaW/ | 154 | — | ~2.5k | Automated safety check: Pass | MIT | today |
| 13 | Comprehensive iOS app development skill. An agent skill from AnastasiyaW/codex-claude-code-config. | AnastasiyaW/ | 154 | — | ~2.2k | Automated safety check: Pass | MIT | today |
| 14 | Design, audit, and troubleshoot production monitoring and observability using user-impact checks, layered telemetry, USE/RED, SLI/SLO/SLA, error budgets, cardinality controls, actionable alerting… | AnastasiyaW/ | 154 | — | ~4.1k | Automated safety check: Pass | MIT | today |
| 15 | Iterative plan review using multisampling + focused decomposition. | AnastasiyaW/ | 154 | — | ~4.4k | Automated safety check: Pass | MIT | today |
| 16 | 16.UI Design Unify product UI design, frontend implementation, and verification. | AnastasiyaW/ | 154 | — | ~2.4k | Automated safety check: Pass | MIT | today |
| 17 | Choose and evaluate VLM or segmentation pipelines, including text-conditioned detection, masks, part labels, model-license constraints, and measured GPU deployment choices. | AnastasiyaW/ | 154 | — | ~910 | Automated safety check: Pass | MIT | today |
| 18 | A skill your agent uses when designing, auditing, refactoring, or explaining an agentic harness for any domain, especially when work must continue from a measured gap to verified completion. | AnastasiyaW/ | 154 | — | ~5.4k | Automated safety check: Pass | MIT | today |
| 19 | Keep web applications, APIs and services readable as they grow: choose feature or domain seams, assign state ownership, enforce dependency direction, keep adapters thin, and verify file shape. | AnastasiyaW/ | 154 | — | ~1.6k | Automated safety check: Pass | MIT | today |
| 20 | 20.Deep Review Parallel competency-based code review. An agent skill from AnastasiyaW/codex-claude-code-config. | AnastasiyaW/ | 154 | — | ~4.4k | Automated safety check: Notes | MIT | today |
| 21 | A skill your agent uses when the user asks the agent not to agree automatically, to challenge an assumption, evaluate a proposal critically, identify counterevidence, or make a high-consequence… | AnastasiyaW/ | 154 | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 22 | Expert prompt engineering for FLUX.2 [klein] image generation and editing model. | AnastasiyaW/ | 154 | — | ~2.8k | Automated safety check: Pass | MIT | today |
| 23 | Plan or review LoRA and edit-training work specifically for FLUX.2 Klein or Qwen-Image-Edit, including paired datasets, trainer-version contracts, and held-out fidelity checks. | AnastasiyaW/ | 154 | — | ~4.5k | Automated safety check: Pass | MIT | today |
| 24 | Делегирование задач в Gemini CLI с проверкой установленной версии, доступной модели и текущего доступа. | AnastasiyaW/ | 154 | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 25 | Design a scoped multi-agent harness for a requested long-running AI workflow. | AnastasiyaW/ | 154 | — | ~2.6k | Automated safety check: Pass | MIT | today |
| 26 | A skill your agent uses when an agent says a test, VM, proof, evaluator, or release gate is overloaded, too strict, blocking staging, or causing false positives; split checks by profile, measure the… | AnastasiyaW/ | 154 | — | ~1k | Automated safety check: Pass | MIT | today |
| 27 | Edit English drafts for clear, natural language while preserving facts, uncertainty, technical meaning, citations and genre. | AnastasiyaW/ | 154 | — | ~1.8k | Automated safety check: Pass | MIT | today |
| 28 | 28.Layer New Scaffold a new layer in a project's docs/layers/ tree following the feature-layer architecture (principle 28). | AnastasiyaW/ | 154 | — | ~1.8k | Automated safety check: Pass | MIT | today |
| 29 | 29.Owner Voice Пишет и редактирует текст голосом владелицы — сообщение, письмо, пост, объяснение, урок, рабочий разбор, на русском и английском. | AnastasiyaW/ | 154 | — | ~874 | Automated safety check: Notes | MIT | today |
| 30 | A skill your agent uses when a large plan, PRD, feature, refactor, research plan, or multi-step coding task must be split into small ready-for-agent tickets with acceptance criteria, verification… | AnastasiyaW/ | 154 | — | ~683 | Automated safety check: Pass | MIT | today |
| 31 | Deep product analysis before creating videos, presentations, or ads. | AnastasiyaW/ | 154 | — | ~2.7k | Automated safety check: Pass | MIT | today |
| 32 | Remotion (React video framework) production guide with Apple-style design rules. | AnastasiyaW/ | 154 | — | ~2k | Automated safety check: Pass | MIT | today |
| 33 | Evaluate video scripts and presentations for flatness, tension, and emotional impact. | AnastasiyaW/ | 154 | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 34 | A skill your agent uses when planning or reviewing tests for a code change, choosing between unit, focused regression, integration, contract, end-to-end, performance, security, property-based, or… | AnastasiyaW/ | 154 | — | ~2k | Automated safety check: Pass | MIT | today |
| 35 | 35.Verify This Prove a concrete behavior, performance, UI, CLI, API, or memory claim with fresh baseline-versus-treatment evidence and one explicit verdict. | AnastasiyaW/ | 154 | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 36 | Proven narrative arc templates for product videos and ads. An agent skill from AnastasiyaW/codex-claude-code-config. | AnastasiyaW/ | 154 | — | ~2.3k | Automated safety check: Pass | MIT | today |
| 37 | Video post-production rules: audio mastering, color, captions, platform export. | AnastasiyaW/ | 154 | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 38 | Decide module boundaries before the first file: what modules exist, which way dependencies point, who owns state, and what each module may know. | AnastasiyaW/ | 154 | — | ~2k | Automated safety check: Pass | MIT | today |
| 39 | Практическая инженерия диффузионных моделей: архитектуры, обучение, инференс, оптимизация памяти. | AnastasiyaW/ | 154 | — | ~1.2k | Automated safety check: Pass | MIT | today |
| 40 | Создание высококачественных, визуально выдающихся фронтенд-интерфейсов. | AnastasiyaW/ | 154 | — | ~1.1k | Automated safety check: Pass | MIT | today |
| 41 | Operate GPU and remote compute across RunPod (Pods and Serverless), Massed Compute VMs, and owned or virtual remote servers through existing bridges, SSH sessions, MCP/API adapters, bounded polling… | AnastasiyaW/ | 154 | — | ~3k | Automated safety check: Pass | MIT | today |
| 42 | Decide whether the system will hold, and where the data lives: requirements and load first, then back-of-the-envelope numbers, building blocks (cache, queue, load balancer, CDN), and the data layer… | AnastasiyaW/ | 154 | — | ~1.7k | Automated safety check: Pass | MIT | today |
| 43 | Designing agent harnesses and tool systems — risk taxonomy for tools, permission decisions, draft/commit pattern, structured tool results, agent budgets (10 types), context trust labels against… | AnastasiyaW/ | 154 | — | ~764 | Automated safety check: Pass | MIT | today |
| 44 | 44.Caveman Ultra-compressed reply mode. An agent skill from AnastasiyaW/codex-claude-code-config. | AnastasiyaW/ | 154 | — | ~3k | Automated safety check: Pass | MIT | today |
| 45 | 45.Control CLI Drive and inspect an interactive CLI or TUI with a repeatable local harness, deterministic input, transcripts, and optional profiling. | AnastasiyaW/ | 154 | — | ~887 | Automated safety check: Pass | MIT | today |
| 46 | 46.Control UI Drive and inspect a local web, IDE, or Electron UI with browser or CDP automation and evidence. | AnastasiyaW/ | 154 | — | ~757 | Automated safety check: Pass | MIT | today |
| 47 | 47.Deslop Remove AI-generated code noise from the current diff while preserving behavior. | AnastasiyaW/ | 154 | — | ~706 | Automated safety check: Pass | MIT | today |
| 48 | 48.Lean Code On-demand minimalism intensifier — find the smallest sufficient, verified implementation for the requested outcome. | AnastasiyaW/ | 154 | — | ~1.3k | Automated safety check: Pass | MIT | today |
Questions, answered from the data.
What is the best skill by AnastasiyaW?
Bug Reproducer from AnastasiyaW/codex-claude-code-config ranks first of the 50 skills by AnastasiyaW listed here, with the highest score: its repository has 154 GitHub stars, its SKILL.md loads about 4.1k tokens and it passes the automated safety check with no findings. Next come Motion Framer and Proof Verify.
Are AnastasiyaW's skills official?
None yet. All 50 skills by AnastasiyaW listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.