By ArabelaTso

Translate Python programs into equivalent Dafny code, preserving program semantics and ensuring the generated code is well-typed, executable, and verifiable.

ArabelaTso/Skills-4-SE

Translate Python programs to equivalent Lean4 code while preserving semantics and ensuring type safety.

ArabelaTso/Skills-4-SE

Generate systematic refinement steps from high-level specifications to concrete implementations in Isabelle/HOL or Coq, preserving correctness obligations at each step.

ArabelaTso/Skills-4-SE

Locate root causes of failing regression tests by analyzing code changes, error messages, and test dependencies.

ArabelaTso/Skills-4-SE

Instruments programs to record execution information for deterministic replay debugging.

ArabelaTso/Skills-4-SE

Iteratively enhance user requirements into clear, complete, actionable specifications through analysis and clarification.

ArabelaTso/Skills-4-SE

Automatically derives TLA+ properties (invariants, safety, liveness) from natural-language requirements or structured requirement documents.

ArabelaTso/Skills-4-SE

Suggests rollback strategies for failed deployments across different platforms and failure types.

ArabelaTso/Skills-4-SE

Automatically infer formal correctness properties from Verilog/SystemVerilog RTL code and generate SystemVerilog Assertions (SVA).

ArabelaTso/Skills-4-SE

Check behavioral consistency between high-level hardware specifications and RTL implementations.

ArabelaTso/Skills-4-SE

Explains runtime errors and compilation failures with actionable debugging guidance.

ArabelaTso/Skills-4-SE

Detect semantic-level bugs by analyzing whether code behavior matches its intended purpose inferred from function/variable names, comments, docstrings, and documentation.

ArabelaTso/Skills-4-SE

Analyze source code statically to detect potential functional bugs including null dereferences, incorrect condition checks, unreachable code, inconsistent state updates, logic errors, resource…

ArabelaTso/Skills-4-SE

Statically analyze code to detect security vulnerabilities including buffer overflows, injection risks (SQL, command, XSS), insecure deserialization, improper authentication, hard-coded credentials…

ArabelaTso/Skills-4-SE

Performs symbolic execution to detect potential errors by exploring execution paths, solving path constraints, and generating test inputs.

ArabelaTso/Skills-4-SE

Creates visual representations of system structure including architecture diagrams, data flow diagrams, deployment diagrams, and sequence diagrams.

ArabelaTso/Skills-4-SE

Analyze proof states in Isabelle or Coq and suggest applicable tactics to make progress.

ArabelaTso/Skills-4-SE

Analyze failing tests to detect functional bugs in code. An agent skill from ArabelaTso/Skills-4-SE.

ArabelaTso/Skills-4-SE

Generates automated test oracles to verify correct software behavior.

ArabelaTso/Skills-4-SE

Analyzes test suites and suggests optimal test execution order based on code change impact and project requirements.

ArabelaTso/Skills-4-SE

Automatically simplify and minimize TLA+ specifications by reducing redundant state variables, merging equivalent actions, and minimizing invariants while preserving specified properties.

ArabelaTso/Skills-4-SE

Builds traceability matrices connecting requirements to design documents to source code implementation, tracking the complete development lifecycle.

ArabelaTso/Skills-4-SE

Automatically generates comprehensive unit tests for functions, classes, and modules.

ArabelaTso/Skills-4-SE

Analyze formal verification artifacts (Isabelle, Coq, Dafny, etc.) and produce structured reports identifying the precise boundary between verified, assumed, and unverified components.

ArabelaTso/Skills-4-SE

Extract language-agnostic pseudocode from formally verified programs (Isabelle/HOL, Coq) while preserving verified control flow, data dependencies, and algorithmic logic.

ArabelaTso/Skills-4-SE

Establish explicit traceability between formal specifications (preconditions, postconditions, invariants) and verified code components with their correctness proofs.

ArabelaTso/Skills-4-SE

Detects security vulnerabilities by matching code against known vulnerability patterns, insecure coding idioms, and CVE-style patterns.

ArabelaTso/Skills-4-SE

Applies abstract interpretation using different abstract domains (intervals, octagons, polyhedra, sign, congruence) to statically analyze program variables and infer invariants, value ranges, and…

ArabelaTso/Skills-4-SE

Performs abstract interpretation over source code to infer possible program states, variable ranges, and data properties without executing the program.

ArabelaTso/Skills-4-SE

Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations.

ArabelaTso/Skills-4-SE

Design and review APIs with suggestions for endpoints, parameters, return types, and best practices.

ArabelaTso/Skills-4-SE

Explain why counterexamples violate specifications by analyzing formal specifications (temporal logic, invariants, pre/postconditions, code contracts), informal requirements (user stories…

ArabelaTso/Skills-4-SE

Analyze failed or stuck proofs and propose auxiliary lemmas to help complete the proof in Isabelle/HOL or Coq.

ArabelaTso/Skills-4-SE

Analyze and explain why Isabelle or Coq proofs fail, identifying the root cause such as type mismatches, missing assumptions, incorrect goals, unification failures, or inapplicable tactics.

ArabelaTso/Skills-4-SE

Generate structured proof skeletons with tactics, strategies, and intermediate lemmas for theorems in Isabelle/HOL or Coq.

ArabelaTso/Skills-4-SE

Summarize long Isabelle or Coq proof scripts into high-level logical steps and reasoning flow.

ArabelaTso/Skills-4-SE

Generate comprehensive API documentation from repository sources including OpenAPI specs, code comments, docstrings, and existing documentation.

ArabelaTso/Skills-4-SE

Generate GitHub Actions deployment workflows for automated deployment to staging and production environments on cloud platforms (AWS, GCP, Azure).

ArabelaTso/Skills-4-SE

CLI-based browser automation with persistent page state using ref-based element interaction.

ArabelaTso/Skills-4-SE

Generate test assertions from existing code implementation. An agent skill from ArabelaTso/Skills-4-SE.

ArabelaTso/Skills-4-SE

Identify the precise location of bugs in source code, modules, and systems.

ArabelaTso/Skills-4-SE

Automatically generates executable tests that reproduce reported bugs from issue reports and code repositories.

ArabelaTso/Skills-4-SE

Generate code fixes and patches from bug reports, failing test cases, error messages, and stack traces.

ArabelaTso/Skills-4-SE

Automatically generates change logs from git commits, patches, and pull requests.

ArabelaTso/Skills-4-SE

Automatically complete partial code snippets while satisfying semantic constraints including variable types, invariants, pre/post-conditions, interface contracts, and expected input/output behavior.

ArabelaTso/Skills-4-SE

Automatically instruments source code to collect runtime information such as function calls, branch decisions, variable values, and execution traces while preserving original program semantics.

ArabelaTso/Skills-4-SE

Analyzes and optimizes code for better performance, memory usage, and efficiency.

ArabelaTso/Skills-4-SE

Conduct comprehensive code reviews identifying bugs, security issues, performance problems, code quality concerns, and best practice violations.

ArabelaTso/Skills-4-SE