Agent skill
when-creating-slash-commands-use-slash-command-encoder
Install this agent skill to your Project
npx add-skill https://github.com/DNYoussef/context-cascade/tree/main/skills/orchestration/when-creating-slash-commands-use-slash-command-encoder
SKILL.md
/============================================================================/ /* WHEN-CREATING-SLASH-COMMANDS-USE-SLASH-COMMAND-ENCODER SKILL :: VERILINGUA x VERIX EDITION / /============================================================================*/
name: when-creating-slash-commands-use-slash-command-encoder version: 1.0.0 description: | [assert|neutral] Create ergonomic slash commands for fast access to micro-skills with auto-discovery and parameter validation [ground:given] [conf:0.95] [state:confirmed] category: workflow tags:
- slash-commands
- cli
- automation
- micro-skills
- encoding author: ruv cognitive_frame: primary: aspectual goal_analysis: first_order: "Execute when-creating-slash-commands-use-slash-command-encoder workflow" second_order: "Ensure quality and consistency" third_order: "Enable systematic workflow processes"
/----------------------------------------------------------------------------/ /* S0 META-IDENTITY / /----------------------------------------------------------------------------*/
[define|neutral] SKILL := { name: "when-creating-slash-commands-use-slash-command-encoder", category: "workflow", 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: ["when-creating-slash-commands-use-slash-command-encoder", "workflow", "workflow"], context: "user needs when-creating-slash-commands-use-slash-command-encoder capability" } [ground:given] [conf:1.0] [state:confirmed]
/----------------------------------------------------------------------------/ /* S3 CORE CONTENT / /----------------------------------------------------------------------------*/
Orchestration Skill Guidelines
When to Use This Skill
- Multi-agent coordination requiring centralized orchestration
- Complex workflows with multiple dependent tasks
- Parallel execution benefiting from concurrent agent spawning
- Quality-controlled delivery needing validation and consensus
- Production workflows requiring audit trails and state management
When NOT to Use This Skill
- Single-agent tasks with no coordination requirements
- Simple sequential work completing in <30 minutes
- Trivial operations with no quality gates
- Exploratory work not needing formal orchestration
Success Criteria
- [assert|neutral] All agents complete successfully* with 100% task completion [ground:acceptance-criteria] [conf:0.90] [state:provisional]
- [assert|neutral] Coordination overhead minimal* (<20% of total execution time) [ground:acceptance-criteria] [conf:0.90] [state:provisional]
- [assert|neutral] No orphaned agents* - All spawned agents tracked and terminated [ground:acceptance-criteria] [conf:0.90] [state:provisional]
- [assert|neutral] State fully recoverable* - Can resume from any failure point [ground:acceptance-criteria] [conf:0.90] [state:provisional]
- [assert|neutral] Quality gates pass* - All validation checks successful [ground:acceptance-criteria] [conf:0.90] [state:provisional]
Edge Cases to Handle
- Agent failures - Detect and replace failed agents automatically
- Timeout scenarios - Configure per-agent timeout with escalation
- Resource exhaustion - Limit concurrent agents, queue excess work
- Conflicting results - Implement conflict resolution strategy
- Partial completion - Support incremental progress with rollback
Guardrails (NEVER Violate)
- [assert|emphatic] NEVER: lose orchestration state** - Persist to memory after each phase [ground:policy] [conf:0.98] [state:confirmed]
- [assert|neutral] ALWAYS: track all agents** - Maintain real-time agent registry [ground:policy] [conf:0.98] [state:confirmed]
- [assert|neutral] ALWAYS: cleanup resources** - Terminate agents and free memory on completion [ground:policy] [conf:0.98] [state:confirmed]
- [assert|emphatic] NEVER: skip validation** - Run quality checks before marking complete [ground:policy] [conf:0.98] [state:confirmed]
- [assert|neutral] ALWAYS: handle errors** - Every orchestration step needs error handling [ground:policy] [conf:0.98] [state:confirmed]
Evidence-Based Validation
- Verify all agent outputs - Check actual results vs expected contracts
- Validate execution order - Confirm dependencies respected
- Measure performance - Track execution time vs baseline
- Check resource usage - Monitor memory, CPU, network during execution
- Audit state consistency - Verify orchestration state matches reality
Slash Command Encoder SOP
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
Overview
Create ergonomic slash commands (/command) for fast, unambiguous access to micro-skills with auto-discovery, intelligent routing, parameter validation, and command chaining.
Agents & Responsibilities
coder
Role: Command implementation and handler logic Responsibilities:
- Implement command handlers
- Create validation logic
- Build routing mechanisms
- Test command functionality
base-template-generator
Role: Generate command templates and boilerplate Responsibilities:
- Create command templates
- Generate documentation
- Build example commands
- Create test scaffolding
Phase 1: Design Command Interface
Objective
Design command syntax, parameters, and behavior specifications.
Scripts
# Generate command template
npx claude-flow@alpha command template \
--name "analyze" \
--description "Analyze codebase for patterns" \
--output commands/analyze.js
# Define command schema
cat > command-schema.json <<EOF
{
"name": "analyze",
"alias": "a",
"description": "Analy
/*----------------------------------------------------------------------------*/
/* 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/workflow/when-creating-slash-commands-use-slash-command-encoder/{project}/{timestamp}",
store: ["executions", "decisions", "patterns"],
retrieve: ["similar_tasks", "proven_patterns"]
} [ground:system-policy] [conf:1.0] [state:confirmed]
[define|neutral] MEMORY_TAGGING := {
WHO: "when-creating-slash-commands-use-slash-command-encoder-{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>WHEN_CREATING_SLASH_COMMANDS_USE_SLASH_COMMAND_ENCODER_VERILINGUA_VERIX_COMPLIANT</promise> [ground:self-validation] [conf:0.99] [state:confirmed]
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
cognitive-mode
Comprehensive cognitive mode management skill for the VERILINGUA x VERIX x DSPy x GlobalMOO integration. Enables automatic mode selection, frame configuration, VERIX epistemic notation, and GlobalMOO optimization. Use this skill when configuring AI behavior for specific task types, optimizing prompt engineering, or ensuring epistemic consistency in responses.
bootstrap-loop
fix-bug
Fix bug command
clarity-linter
dependencies
when-mapping-dependencies-use-dependency-mapper
Didn't find tool you were looking for?