DNYoussef

Micro-Skill Creator (Enhanced)

Context Cascade - Nested Plugin Architecture for Claude Code Official Claude Code Plugin | Version 3.1.0 | Last updated: 2026-01-09 (see docs/COMPONENT-COUNTS.json for source counts) Context-saving nested architecture: Playbooks -> Skills -> Agents -> Commands. Load only what you need, saving 90%+ context space.

DNYoussef 31 6 Updated 4mo ago

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Install

npx skillscat add dnyoussef/context-cascade/skills-foundry-micro-skill-creator

Install via the SkillsCat registry.

SKILL.md

/============================================================================/
/* MICRO-SKILL-CREATOR SKILL :: VERILINGUA x VERIX EDITION /
/
============================================================================*/


name: micro-skill-creator
version: 2.0.0
description: |
[assert|neutral] Rapidly creates atomic, focused skills optimized with evidence-based prompting, specialist agents, and systematic testing. Each micro-skill does one thing exceptionally well using self-consistency, pr [ground:given] [conf:0.95] [state:confirmed]
category: foundry
tags:

  • skill-creation
  • atomic
  • modular
  • evidence-based
  • specialist-agents
    author: ruv
    cognitive_frame:
    primary: evidential
    goal_analysis:
    first_order: "Execute micro-skill-creator workflow"
    second_order: "Ensure quality and consistency"
    third_order: "Enable systematic foundry processes"

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

[define|neutral] SKILL := {
name: "micro-skill-creator",
category: "foundry",
version: "2.0.0",
layer: L1
} [ground:given] [conf:1.0] [state:confirmed]

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

[define|neutral] COGNITIVE_FRAME := {
frame: "Evidential",
source: "Turkish",
force: "How do you know?"
} [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: ["micro-skill-creator", "foundry", "workflow"],
context: "user needs micro-skill-creator capability"
} [ground:given] [conf:1.0] [state:confirmed]

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

Skill Execution Criteria

When to Use This Skill

  • Building atomic, reusable workflow components
  • Creating focused skills that do one thing exceptionally well
  • Establishing building blocks for cascade orchestration
  • Developing domain-specific micro-capabilities
  • When repeatability and composability are critical

When NOT to Use This Skill

  • For complex multi-step workflows (use cascade-orchestrator instead)
  • For one-off exploratory tasks without reuse value
  • When task is too simple to benefit from skill abstraction
  • When external tools already handle the capability better

Success Criteria

  • [assert|neutral] primary_outcome: "Atomic skill with single responsibility, clean interface, specialist agent, and systematic validation" [ground:acceptance-criteria] [conf:0.90] [state:provisional]
  • [assert|neutral] quality_threshold: 0.95 [ground:acceptance-criteria] [conf:0.90] [state:provisional]
  • [assert|neutral] verification_method: "Skill executes successfully in isolation, composes cleanly with other skills, passes functionality-audit validation" [ground:acceptance-criteria] [conf:0.90] [state:provisional]

Edge Cases

  • case: "Skill scope creep (trying to do too much)"
    handling: "Decompose into multiple micro-skills with clear interfaces, apply Unix philosophy"
  • case: "Unclear input/output contract"
    handling: "Define explicit schema, add validation, document expected formats"
  • case: "Skill depends on external state"
    handling: "Make dependencies explicit parameters, document preconditions, add state validation"

Skill Guardrails

NEVER:

  • "Create skills with multiple responsibilities (violates atomic principle)"
  • "Use generic agents instead of domain specialists"
  • "Skip validation testing (functionality-audit required)"
  • "Create skills without clear composability in mind"
    ALWAYS:
  • "Follow single responsibility principle (one skill, one purpose)"
  • "Design specialist agent with evidence-based prompting (self-consistency, program-of-thought, plan-and-solve)"
  • "Define clean input/output contracts with validation"
  • "Test in isolation AND in composition with other skills"
  • "Integrate with neural training for continuous improvement"

Evidence-Based Execution

self_consistency: "After skill creation, execute multiple times with same input to verify deterministic behavior and consistent quality"
program_of_thought: "Decompose creation into: 1) Define single responsibility, 2) Design specialist agent, 3) Build input/output contract, 4) Implement core logic, 5) Validate systematically, 6) Test composability"
plan_and_solve: "Plan: Identify atomic operation + specialist expertise -> Execute: Build agent + validate -> Verify: Isolation test + composition test + neural training integration"

Micro-Skill Creator (Enhanced)

Kanitsal Cerceve (Evidential Frame Activation)

Kaynak dogrulama modu etkin.

Trigger Keywords

USE WHEN user mentions:

  • "create micro-skill", "atomic skill", "small skill", "focused skill"
  • "single-purpose skill", "one task skill"
  • "building block", "composable skill", "cascade component"
  • "reusable [domain] skill", "skill for [specific task]"
  • "Unix philosophy skill", "do one thing well"
  • "skill using [evidence technique]" (self-consistency, program-of-thought, plan-and-solve)

DO NOT USE when:

  • User wants COMPLEX multi-step skill - use skill-creator-agent
  • User wants to create AGENT (not skill) - use agent-creator
  • User wants to IMPROVE existing skill - use recursive-improvement or skill-forge
  • User wants to optimize PROMPTS - use prompt-architect
  • Task is one-off without reuse value - direct implementation faster
  • Task already handled by external tools - integration better than recreation

Instead use:

  • skill-creator-agent when skill needs multiple coordinated agents or complex workflow
  • agent-creator when goal is standalone agent (no skill wrapper need

/----------------------------------------------------------------------------/
/* 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/micro-skill-creator/{project}/{timestamp}",
store: ["executions", "decisions", "patterns"],
retrieve: ["similar_tasks", "proven_patterns"]
} [ground:system-policy] [conf:1.0] [state:confirmed]

[define|neutral] MEMORY_TAGGING := {
WHO: "micro-skill-creator-{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] MICRO_SKILL_CREATOR_VERILINGUA_VERIX_COMPLIANT [ground:self-validation] [conf:0.99] [state:confirmed]