Standalone engineering skills for Claude Code and Codex: review, audit, optimization, testing, product discovery, architecture, and safe publishing.
- ✓Open-source license (MIT)
- ✓Actively maintained (<30d)
- ✓Healthy fork ratio
- ✓Clear description
- ✓Topics declared
git clone https://github.com/levnikolaevich/claude-code-skills && cp claude-code-skills/*.md ~/.claude/agents/24 items in this repository
Creates a project baseline of architecture drivers and constraints. Use before design or planning; not for target design, plan review, implementation, or architecture audit.
Documents implemented current-state architecture from repository evidence. Use for onboarding or migration baselines; not for target design, audit verdicts, or code changes.
Creates a decision-complete target system design from requirements and constraints. Use before implementation planning; not for requirements baselines, reviews, audits, or code changes.
Records one architecture decision with context, alternatives, tradeoffs, and consequences. Use for a significant choice; not for broad design, audit, or implementation.
Creates evidence-backed current or target architecture diagrams when the diagram is the primary deliverable. Not for UI design, architecture audit, or invented structure.
Plans a reversible architecture migration with compatibility, data movement, rollout, and rollback. Use for current-to-target transitions; not execution, generic planning, or delivery review.
Audits documentation and code comments for structure, coverage, factual accuracy, and maintainability. Use for documentation trust reviews; not code, test, or architecture audits.
Audits cross-cutting code health across security, delivery, maintainability, dependencies, diagnosability, concurrency, and lifecycle. Use when no specialist audit is primary.
Audits whether an existing test suite proves important behavior as a sustainable portfolio. Use when test confidence or lifecycle control is uncertain; not to implement tests or review one delivery.
Audits implemented architecture fitness, boundaries, contracts, dependencies, and configuration ownership. Use for system structure; not for current-state documentation, diagrams, or plan review.
Audits queries, transactions, data-path performance, and persistence resource lifecycle. Use when data correctness or scalability is at risk; not for general performance tuning.
Reviews standalone skills and their configured distribution surfaces before publication. Use for skill release readiness; not for product code or implementation-plan review.
Validates, commits, pushes, and remotely verifies approved repository changes. Use when publication is requested; not for releases, package publishing, or announcements.
Prepares and publishes a tagged GitHub release from repository evidence. Use for an explicit release request; not for ordinary commits, packages, or community news.
Drafts and publishes fact-checked GitHub Discussions announcements. Use for releases, updates, or project news; not for release creation or issue responses.
Optimizes a measured latency, throughput, memory, CPU, or I/O problem through profiling and keep-or-discard experiments. Use for a known bottleneck; not unbiased A/B comparison.
Upgrades dependencies across package managers with breaking-change research and rollback-safe verification. Use for dependency maintenance; not general code modernization.
Modernizes a bounded capability by removing obsolete custom mechanisms or reducing bundle and maintenance cost. Use for proven modernization value; not routine upgrades or tuning.
Compares tools or implementations through reproducible A/B workloads, correctness oracles, and controlled measurements. Use to choose alternatives; not to optimize a known bottleneck.
Implements a bounded product-code change through the smallest complete root-cause solution. Use for scoped delivery; not for planning, review, audit, upgrades, modernization, or tuning.
Evaluates new product directions using current demand, acquisition, competition, economics, and validation evidence. Use before commitment; not for backlog or implementation planning.
Reviews implementation plans against repository evidence and current authoritative guidance. Use before execution to expose gaps and risks; not for completed delivery review.
Reviews a completed scoped change and its affected runtime and contract paths. Use to find change-caused defects and verify readiness; not for codebase audit, implementation, or repair.
Designs risk-based test portfolio decisions and prioritized scenarios without changing code. Use when requirements need a test strategy; not for auditing or implementing tests.
Subagents overview
What people ask about claude-code-skills
What is levnikolaevich/claude-code-skills?
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levnikolaevich/claude-code-skills is subagents for the Claude AI ecosystem. Standalone engineering skills for Claude Code and Codex: review, audit, optimization, testing, product discovery, architecture, and safe publishing. It has 559 GitHub stars and its last recorded update is dated 2026-09-05.
How do I install claude-code-skills?
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You can install claude-code-skills by cloning the repository (https://github.com/levnikolaevich/claude-code-skills) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.
Is levnikolaevich/claude-code-skills safe to use?
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Our security agent has analyzed levnikolaevich/claude-code-skills and assigned a Trust Score of 97/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.
Who maintains levnikolaevich/claude-code-skills?
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levnikolaevich/claude-code-skills is maintained by levnikolaevich. The last recorded GitHub activity is dated 2026-09-05, with 1 open issues.
Are there alternatives to claude-code-skills?
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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.
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