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Code Review
Automated code review and analysis
Command Development
by brycewang-stanford
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
critical-interval-security-checker
by ArabelaTso
Analyzes code to identify security-critical time intervals and timing vulnerabilities in authentication, authorization, and time-sensitive security operations. Use this skill when reviewing code for proper timeout enforcement, token expiration, session management, rate limiting, password reset validity, or any time-sensitive security mechanism. Detects missing expiration checks, excessive timeout values, lack of rate limiting, client-side only validation, hardcoded timeouts, and timing attack vulnerabilities. Triggers when users ask to check security timeouts, verify token expiration handling, audit session timeout implementation, review rate limiting, or analyze time-based security controls.
counterexample-debugger
by ArabelaTso
"Debug proof failures using counterexamples from Nitpick (Isabelle) or QuickChick (Coq) to identify specification errors, missing preconditions, and proof strategy issues. Use when: (1) A proof attempt fails and you need to understand why, (2) Counterexamples are generated by Nitpick or QuickChick, (3) Specifications may be incorrect or incomplete, (4) Theorems need validation before proving, (5) Missing preconditions or lemmas need identification, or (6) Proof failures need explanation and correction suggestions. Supports both Isabelle/HOL and Coq equally."
code-review-assistant
by ArabelaTso
Conduct comprehensive code reviews identifying bugs, security issues, performance problems, code quality concerns, and best practice violations. Use when reviewing pull requests, examining code changes, evaluating new code, assessing code quality, or providing feedback on implementations. Analyzes code for correctness, security vulnerabilities, performance bottlenecks, maintainability issues, test coverage, documentation quality, and adherence to coding standards. Produces structured markdown reviews with categorized findings, severity ratings, specific examples, and actionable recommendations. Triggers when users ask to review code, check pull requests, evaluate implementations, find bugs, or assess code quality.
bug-history-summarizer
by ArabelaTso
"Summarizes the complete lifecycle of a bug across code versions, tracking its introduction, detection, fixing attempts, and regression history. Use when users need to: (1) Understand how a bug evolved over time, (2) Trace when and how a bug was introduced, (3) Analyze fix attempts and their effectiveness, (4) Identify regression patterns, (5) Generate bug lifecycle reports for documentation or post-mortems. Takes a repository, bug identifier, and version history as input."
component-boundary-identifier
by ArabelaTso
Identifies boundaries between modules or components in software systems through static code analysis and dependency detection. Use when Claude needs to analyze software architecture, identify module boundaries, detect boundary violations, find circular dependencies, or assess component coupling. Supports Python (packages and imports) and Java (packages and dependencies). Trigger when users ask to "identify boundaries", "find component boundaries", "detect boundary violations", "analyze module structure", "check architecture", or "find circular dependencies".
behavioral-mutation-analyzer
by ArabelaTso
Analyzes surviving mutants from mutation testing to identify why tests failed to detect them. Takes repository code, test suite, and mutation testing results as input. Identifies root causes including insufficient coverage, equivalent mutants, weak assertions, and missed edge cases. Automatically generates actionable test improvements and new test cases. Use when analyzing mutation testing results, improving test suite effectiveness, investigating low mutation scores, generating tests to kill surviving mutants, or enhancing test quality based on mutation analysis.
abstract-domain-explorer
by ArabelaTso
Applies abstract interpretation using different abstract domains (intervals, octagons, polyhedra, sign, congruence) to statically analyze program variables and infer invariants, value ranges, and relationships. Use when analyzing program properties, inferring loop invariants, detecting potential errors, or understanding variable relationships through static analysis.
abstract-state-analyzer
by ArabelaTso
Performs abstract interpretation over source code to infer possible program states, variable ranges, and data properties without executing the program. Reports potential runtime errors including out-of-bounds accesses, null dereferences, type inconsistencies, division by zero, and integer overflows. Use when analyzing code for potential runtime errors, performing static analysis, checking safety properties, or verifying program behavior without execution.
cve-reachability-analyzer
by ArabelaTso
Analyze CVE reachability in software repositories by examining how vulnerable dependencies are imported and used. Determines whether vulnerable components, classes, or functions are reachable from project code through call chain analysis, reflection detection, dynamic loading patterns, and configuration-gated behavior. Classifies each CVE as likely reachable, possibly reachable, or likely unreachable with supporting evidence. Use when analyzing security vulnerabilities in dependencies, performing post-disclosure CVE triage, assessing vulnerability impact, or when users ask to analyze CVE reachability, check if vulnerabilities are exploitable, or evaluate dependency security risks.
counterexample-generator
by ArabelaTso
Generate concrete counterexamples when formal verification, assertions, or specifications fail. Use this skill when debugging failed proofs, understanding why verification fails, creating minimal reproducing examples, analyzing assertion violations, investigating invariant breaks, or diagnosing specification mismatches. Produces concrete input values, execution traces, and state information that demonstrate the failure.
fpf:actualize
by NeoLabHQ
"Reconcile the project's FPF state with recent repository changes"
reflexion:critique
by NeoLabHQ
Comprehensive multi-perspective review using specialized judges with debate and consensus building
code-review:review-pr
by NeoLabHQ
Comprehensive pull request review using specialized agents
kaizen:plan-do-check-act
by NeoLabHQ
Iterative PDCA cycle for systematic experimentation and continuous improvement
kaizen:analyse-problem
by NeoLabHQ
Comprehensive A3 one-page problem analysis with root cause and action plan
git:create-pr
by NeoLabHQ
Create pull requests using GitHub CLI with proper templates and formatting
kaizen:analyse
by NeoLabHQ
Auto-selects best Kaizen method (Gemba Walk, Value Stream, or Muda) for target
git:analyze-issue
by NeoLabHQ
Analyze a GitHub issue and create a detailed technical specification
git:attach-review-to-pr
by NeoLabHQ
Add line-specific review comments to pull requests using GitHub CLI API
reflexion:reflect
by NeoLabHQ
Reflect on previus response and output, based on Self-refinement framework for iterative improvement with complexity triage and verification
fpf:propose-hypotheses
by NeoLabHQ
Execute complete FPF cycle from hypothesis generation to decision
customaize-agent:create-command
by NeoLabHQ
Interactive assistant for creating new Claude commands with proper structure, patterns, and MCP tool integration
fpf:status
by NeoLabHQ
"Display the current state of the FPF knowledge base"