# Meta Tools

> Meta Tools

- Skill: `dnyoussef/meta-tools` (Agent Skill, multi-file: 28 files)
- Install (CLI): `npx skillmds@latest add dnyoussef/meta-tools`
- Raw SKILL.md: https://api.skillmd.com/api/skills/dnyoussef/meta-tools/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: DNYoussef (https://skillmd.com/u/dnyoussef)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/dnyoussef/meta-tools

---

/*============================================================================*/
/* META-TOOLS SKILL :: VERILINGUA x VERIX EDITION                      */
/*============================================================================*/

---
name: meta-tools
version: 1.0.0
description: |
  [assert|neutral] Meta-tools is a comprehensive framework for creating, validating, optimizing, and composing development tools. It provides automated workflows for tool generation, cross-tool composition, and orchestr [ground:given] [conf:0.95] [state:confirmed]
category: foundry
tags:
- foundry
- creation
- meta-tools
author: ruv
cognitive_frame:
  primary: aspectual
  goal_analysis:
    first_order: "Execute meta-tools workflow"
    second_order: "Ensure quality and consistency"
    third_order: "Enable systematic foundry processes"
---

/*----------------------------------------------------------------------------*/
/* S0 META-IDENTITY                                                            */
/*----------------------------------------------------------------------------*/

[define|neutral] SKILL := {
  name: "meta-tools",
  category: "foundry",
  version: "1.0.0",
  layer: L1
} [ground:given] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S1 COGNITIVE FRAME                                                          */
/*----------------------------------------------------------------------------*/

[define|neutral] COGNITIVE_FRAME := {
  frame: "Aspectual",
  source: "Russian",
  force: "Complete or ongoing?"
} [ground:cognitive-science] [conf:0.92] [state:confirmed]

## Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.

/*----------------------------------------------------------------------------*/
/* S2 TRIGGER CONDITIONS                                                       */
/*----------------------------------------------------------------------------*/

[define|neutral] TRIGGER_POSITIVE := {
  keywords: ["meta-tools", "foundry", "workflow"],
  context: "user needs meta-tools capability"
} [ground:given] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S3 CORE CONTENT                                                             */
/*----------------------------------------------------------------------------*/

<!-- SKILL SOP IMPROVEMENT v1.0 -->
## Skill Execution Criteria

### When to Use This Skill
- [AUTO-EXTRACTED from skill description and content]
- [Task patterns this skill is optimized for]
- [Workflow contexts where this skill excels]

### When NOT to Use This Skill
- [Situations where alternative skills are better suited]
- [Anti-patterns that indicate wrong skill choice]
- [Edge cases this skill doesn't handle well]

### Success Criteria
- primary_outcome: "[SKILL-SPECIFIC measurable result based on skill purpose]"
- [assert|neutral] quality_threshold: 0.85 [ground:acceptance-criteria] [conf:0.90] [state:provisional]
- verification_method: "[How to validate skill executed correctly and produced expected outcome]"

### Edge Cases
- case: "Ambiguous or incomplete input"
  handling: "Request clarification, document assumptions, proceed with explicit constraints"
- case: "Conflicting requirements or constraints"
  handling: "Surface conflict to user, propose resolution options, document trade-offs"
- case: "Insufficient context for quality execution"
  handling: "Flag missing information, provide template for needed context, proceed with documented limitations"

### Skill Guardrails
NEVER:
  - "[SKILL-SPECIFIC anti-pattern that breaks methodology]"
  - "[Common mistake that degrades output quality]"
  - "[Shortcut that compromises skill effectiveness]"
ALWAYS:
  - "[SKILL-SPECIFIC requirement for successful execution]"
  - "[Critical step that must not be skipped]"
  - "[Quality check that ensures reliable output]"

### Evidence-Based Execution
self_consistency: "After completing this skill, verify output quality by [SKILL-SPECIFIC validation approach]"
program_of_thought: "Decompose this skill execution into: [SKILL-SPECIFIC sequential steps]"
plan_and_solve: "Plan: [SKILL-SPECIFIC planning phase] -> Execute: [SKILL-SPECIFIC execution phase] -> Verify: [SKILL-SPECIFIC verification phase]"
<!-- END SKILL SOP IMPROVEMENT -->

# Meta-Tools - Tool Creation and Composition Framework

## Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.



## Overview

Meta-tools is a comprehensive framework for creating, validating, optimizing, and composing development tools. It provides automated workflows for tool generation, cross-tool composition, and orchestration patterns that enable developers to build custom tooling ecosystems.

## Purpose

Enable developers to:
- **Generate Tools**: Automatically create new tools from specifications
- **Validate Tools**: Ensure tool correctness, security, and performance
- **Optimize Tools**: Enhance tool efficiency and resource usage
- **Package Tools**: Bundle tools for distribution and deployment
- **Compose Tools**: Chain multiple tools into powerful workflows
- **Orchestrate Tools**: Coordinate complex multi-tool operations

## Capabilities

### Tool Generation
- Specification-driven tool creation
- Template-based scaffolding
- Auto-generated validation logic
- Built-in error handling
- Documentation generation

### Tool Validation
- Schema validation
- Security scanning
- Performance profiling
- Integration testing
- Compliance checking

### Tool Optimization
- Performance analysis
- Resource optimization
- Caching strategies
- Parallel execution
- Memory management

### Tool Packaging
- Dependency resolution
- Version management
- Distribution packaging
- Installation scripts
- Update mechanisms

### Tool Composition
- Pipeline creation
- Data flow management
- Error propagation
- State management
- Result aggregation

### Tool Orchestration
- Multi-tool coordination
- Parallel execution
- Conditional workflows
- Event-driven triggers
- Monitoring and logging

## Usage Patterns

### Quick Tool Generation
```bash
# Generate a new tool from specification
python resources/tool-generator.py \
  --spec specs/my-tool.yaml \
  --output tools/my-tool \
  --template resources/templates/tool-template.yaml
```

### Tool Validation
```bash
# Validate a tool implementation
node resou

/*----------------------------------------------------------------------------*/
/* S4 SUCCESS CRITERIA                                                         */
/*----------------------------------------------------------------------------*/

[define|neutral] SUCCESS_CRITERIA := {
  primary: "Skill execution completes successfully",
  quality: "Output meets quality thresholds",
  verification: "Results validated against requirements"
} [ground:given] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S5 MCP INTEGRATION                                                          */
/*----------------------------------------------------------------------------*/

[define|neutral] MCP_INTEGRATION := {
  memory_mcp: "Store execution results and patterns",
  tools: ["mcp__memory-mcp__memory_store", "mcp__memory-mcp__vector_search"]
} [ground:witnessed:mcp-config] [conf:0.95] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S6 MEMORY NAMESPACE                                                         */
/*----------------------------------------------------------------------------*/

[define|neutral] MEMORY_NAMESPACE := {
  pattern: "skills/foundry/meta-tools/{project}/{timestamp}",
  store: ["executions", "decisions", "patterns"],
  retrieve: ["similar_tasks", "proven_patterns"]
} [ground:system-policy] [conf:1.0] [state:confirmed]

[define|neutral] MEMORY_TAGGING := {
  WHO: "meta-tools-{session_id}",
  WHEN: "ISO8601_timestamp",
  PROJECT: "{project_name}",
  WHY: "skill-execution"
} [ground:system-policy] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S7 SKILL COMPLETION VERIFICATION                                            */
/*----------------------------------------------------------------------------*/

[direct|emphatic] COMPLETION_CHECKLIST := {
  agent_spawning: "Spawn agents via Task()",
  registry_validation: "Use registry agents only",
  todowrite_called: "Track progress with TodoWrite",
  work_delegation: "Delegate to specialized agents"
} [ground:system-policy] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* S8 ABSOLUTE RULES                                                           */
/*----------------------------------------------------------------------------*/

[direct|emphatic] RULE_NO_UNICODE := forall(output): NOT(unicode_outside_ascii) [ground:windows-compatibility] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_EVIDENCE := forall(claim): has(ground) AND has(confidence) [ground:verix-spec] [conf:1.0] [state:confirmed]

[direct|emphatic] RULE_REGISTRY := forall(agent): agent IN AGENT_REGISTRY [ground:system-policy] [conf:1.0] [state:confirmed]

/*----------------------------------------------------------------------------*/
/* PROMISE                                                                     */
/*----------------------------------------------------------------------------*/

[commit|confident] <promise>META_TOOLS_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]

