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SKILL verified Apache-2.0 Self-run

Code Completion Semantic Constraints

skill-arabelatso-skills-4-se-code-completion-semantic-constraints · by ArabelaTso

Automatically complete partial code snippets while satisfying semantic constraints including variable types, invariants, pre/post-conditions, interface contracts, and expected input/output behavior. Use when users provide incomplete code with specific requirements like "complete this function that takes a list and returns sorted unique elements" or "fill in this method body that must maintain the…

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Install

$ agentstack add skill-arabelatso-skills-4-se-code-completion-semantic-constraints

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Code Completion with Semantic Constraints

Overview

Complete partial code snippets while satisfying specified semantic constraints. Produces compilable code, verification tests, and a detailed report explaining how each constraint was satisfied.

Workflow

1. Parse Input

Extract and categorize the provided information:

Partial Code: Identify the incomplete code structure (function signature, class skeleton, method stub, etc.)

Semantic Constraints: Categorize constraints by type:

  • Type constraints: Variable types, return types, generic bounds
  • Invariants: Pre-conditions, post-conditions, loop invariants
  • Behavioral constraints: Expected input/output pairs, edge case handling
  • Interface contracts: Method signatures, protocol conformance
  • Performance constraints: Time/space complexity requirements

2. Analyze Constraints

For each constraint:

  • Determine if it's satisfiable
  • Identify dependencies between constraints
  • Note any conflicts or ambiguities
  • If constraints are unclear or conflicting, ask for clarification before proceeding

3. Complete the Code

Generate code that:

  • Compiles without errors in the target language
  • Satisfies all specified constraints
  • Follows language idioms and best practices
  • Includes necessary imports, type annotations, and error handling
  • Uses minimal complexity (avoid over-engineering)

4. Generate Verification Tests

Create minimal test cases that verify:

  • Type constraints are respected
  • Pre-conditions and post-conditions hold
  • Expected input/output behavior is correct
  • Edge cases are handled properly
  • Performance constraints are met (if specified)

5. Produce Constraint Satisfaction Report

Document how each constraint was satisfied:

  • Map each constraint to the code that satisfies it
  • Explain the reasoning for implementation choices
  • Note any assumptions made
  • Highlight any constraints that required trade-offs

Examples

Example 1: Type and Behavioral Constraints

Input:

def process_items(items):
    # TODO: complete this function
    pass

Constraints:

  • items is a list of integers
  • Return a list of unique integers in ascending order
  • Handle empty list (return empty list)
  • Time complexity: O(n log n)

Output: Completed function with sorting logic, tests for empty/normal/duplicate cases, and report explaining constraint satisfaction.

Example 2: Interface Contract

Input:

public class DataCache implements Cache {
    // TODO: implement required methods
}

Constraints:

  • Implement Cache interface (get, put, remove methods)
  • Thread-safe operations
  • LRU eviction policy with max size 100
  • Return null for missing keys

Output: Complete class implementation, concurrency tests, and report mapping each interface method to implementation.

Example 3: Invariant Preservation

Input:

void update_balance(Account* acc, int amount) {
    // TODO: complete
}

Constraints:

  • Pre-condition: acc != NULL && acc->balance >= 0
  • Post-condition: acc->balance >= 0 (balance never negative)
  • If amount would make balance negative, set to 0 instead

Output: Implementation with bounds checking, tests for edge cases, and report showing invariant preservation.

Output Format

Provide three components:

1. Completed Code

  • Fully compilable and executable
  • Includes necessary imports, type annotations, error handling
  • Follows language conventions

2. Verification Tests

  • Minimal test suite covering constraint verification
  • Include edge cases and boundary conditions
  • Use appropriate testing framework for the language

3. Constraint Satisfaction Report

  • Table or list mapping each constraint to implementation details
  • Explanation of design choices
  • Any assumptions or trade-offs made

Language Support

This skill works with any programming language. Adapt constraint types and verification approaches to language-specific features (e.g., type systems, contract programming, assertion libraries).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.