askill
ace-tool

ace-toolSafety 95Repository

Semantic codebase search and prompt enhancement via standalone CLI. Use when: (1) Semantic code search with natural language queries, (2) Prompt enhancement with codebase context, (3) Before grep/find/glob operations for better accuracy, (4) Complex requirements clarification, (5) Large codebase navigation. Triggers: "search context", "enhance prompt", "find code that", "clarify requirements". IMPORTANT: Always use ace-tool BEFORE grep/find/glob for semantic-level code location.

57 stars
1.2k downloads
Updated 2/11/2026

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SKILL.md

ACE-Tool - Semantic Code Search & Prompt Enhancement

High-performance semantic search and AI-powered prompt enhancement. Standalone CLI (no MCP dependency).

Execution Methods

# Prerequisites: pip install httpx tenacity
# Environment: ACE_API_URL, ACE_API_TOKEN (optional for local fallback)

# Search codebase with natural language
python scripts/ace_cli.py search_context -p /path/to/project -q "function that handles authentication"

# Enhance prompt (interactive mode - default, opens browser)
python scripts/ace_cli.py enhance_prompt -p "implement login feature" -H "User: what auth method?\nAssistant: JWT"

# Enhance prompt (non-interactive, JSON output)
python scripts/ace_cli.py enhance_prompt --no-interactive -p "implement login feature"

# Enhance prompt with specific endpoint
python scripts/ace_cli.py --endpoint claude enhance_prompt -p "implement login feature"

# Check configuration
python scripts/ace_cli.py get_config

Tool Routing Policy

Prefer ACE-Tool Over Built-in Tools

TaskAvoidUse ACE-Tool CLI
Find function by purposegrep "def func"search_context -q "function that..."
Locate feature codefind . -name "*.py"search_context -q "feature description"
Clarify requirementsManual analysisenhance_prompt -p "requirement"
Understand code flowMultiple grep/readsearch_context -q "flow description"

When to Use Built-in Tools

  • Exact string matching (known identifiers)
  • File path patterns (known naming conventions)
  • Simple text replacement

Command Reference

search_context

Search codebase using natural language descriptions.

python scripts/ace_cli.py search_context -p <project_root> -q <query>

Options:
  -p, --project-root    Project root path (required)
  -q, --query           Natural language query (required)

enhance_prompt

Enhance prompts with codebase context and conversation history.

python scripts/ace_cli.py [--endpoint TYPE] enhance_prompt -p <prompt> [options]

Global Options:
  --endpoint            Endpoint type: new, old, claude, openai, gemini (default: new)
  --api-url             Override API base URL
  --token               Override API token

Command Options:
  -p, --prompt          Original prompt (required)
  -H, --history         Conversation history: "User: xxx\nAssistant: yyy"
  --history-file        File containing conversation history
  --project-root        Project root path (optional)
  --no-interactive      Disable web UI, output JSON directly
  --no-browser          Don't auto-open browser, just print URL
  --port                Port for web server (default: 8765)

get_config

Show current configuration status.

python scripts/ace_cli.py get_config

Interactive Enhancement

Default mode opens web UI with actions:

ButtonAction
RegenerateDiscard current, generate new enhancement from original prompt
RefineIteratively improve current version, preserving your edits
Use OriginalReturn the original prompt without enhancement
Send EnhancedConfirm and use the current enhanced prompt
CancelAbort the enhancement process

Keyboard Shortcuts: Ctrl+Enter Send | Esc Cancel

Workflow

Phase 1: Semantic Search

search_context -p . -q "database connection pooling"  # Find relevant code
# Review returned file locations
# Read specific files for details

Phase 2: Prompt Enhancement

enhance_prompt -p "optimize query performance"        # Opens interactive UI
# Review and refine enhanced prompt
# Use Regenerate/Refine as needed
# Send Enhanced to confirm

Error Handling

{"error": "error message", "status_code": 401}
ErrorRecovery
No API configuredUses local fallback for search_context
Token invalid (401)Check API token
Access denied (403)Token may be disabled
Connection timeoutRetries up to 3 times with exponential backoff
No resultsBroaden search query

Anti-Patterns

ProhibitedCorrect
Grep before semantic searchUse search_context first
Skip prompt enhancementUse enhance_prompt for complex tasks
Ignore conversation historyInclude history in enhance_prompt
Use exact match for conceptual searchUse natural language query
Always use non-interactive modeUse interactive mode for review

Install

Download ZIP
Requires askill CLI v1.0+

AI Quality Score

88/100Analyzed 2/12/2026

Excellent documentation for a semantic search CLI tool. Includes clear triggers, routing policies, and detailed command references. The score is slightly impacted by the dependency on a specific local script path ('scripts/ace_cli.py'), suggesting it is tailored to a specific project structure, but the content quality is very high.

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Metadata

Licenseunknown
Version-
Updated2/11/2026
PublisherDianel555

Tags

apidatabasegithub-actionsllmpromptingsecurity