parallel-f-kicklang-wrapper

name	parallel_f-kicklang-wrapper
description	Thin OCS-compliant wrapper that consumes KickLang v4.2 Parallel DAG syntax (make_task, task_list, append with deps, finish, flush, stats) and delegates execution to the parallel_f C++ library. Provides TAS metadata attachment, CoherenceMonitorBridge integration, consent-gated execution, and C++ code generation from KickLang DAGs.
version	0.2.0-ocs
author	OCS Meta-Orchestrator (via ocs-skill-builder + kicklang-meta-playbook)
tags	["kicklang","parallel_dag","parallel_f","tas","ocs","execution","wrapper","codegen"]
activation_triggers	["parallel_f wrapper","kicklang parallel dag execute","ocs parallel execution","consume parallel_dag syntax","generate parallel cpp from kicklang"]

parallel_f-kicklang-wrapper (v0.2.0-OCS)

Thin, fully OCS-participant execution bridge between KickLang v4.2 Parallel DAG syntax and the parallel_f C++ task-parallel library. Supports runtime delegation and C++ code generation from KickLang DAGs.

Overview & OCS Compliance

This skill is a first-class OCS participant:

• Exposes clear TAS entry points (extraction, purification, sequencing).
• Uses three-agent-core delegation pattern.
• Implements consent-first gates and coherence monitoring.
• Produces KickLang-native output where possible.
• Supports both execution (via parallel_f) and code generation (emit compilable C++ using existing parallel_f headers).

It remains intentionally thin — core scheduling and dependency logic stay in parallel_f.

Core OCS Invariants (Enforced)

• TAS Lifecycle support (KickForge extraction → puTASe → KickFlow sequencing).
• Three-agent-core delegation for non-trivial operations.
• Explicit consent & halt conditions (routed through Dima/SystemMonitor patterns).
• CoherenceMonitorBridge integration via stats.
• KickLang syntax readiness (⫻ blocks, TAS metadata attachment).
• Additive evolution — no breaking changes to existing parallel_f or KickLang usage.

Multi-Agent Delegation Map

Role	Responsibility	Key Actions
KickForge	TAS extraction & purification from KickLang DAG	Parse syntax → internal TAS graph + metadata
KickFlow	Sequencing, translation, codegen orchestration	Map to parallel_f or emit C++
KickGuard	Consent, integrity, coherence, drift detection	Pre-execution gate + stats validation

Public Capabilities

1. Runtime Execution (Delegation)

Consumes KickLang Parallel DAG syntax and executes via parallel_f.

⫻block/parallel_vision_example {
  dag = task_list {
    load   = append( make_task(load_images, path) )
    detect = append( make_task(run_inference, model), deps: [load] )
    ...
  }
  result = dag.finish()
  stats.show()
}

2. C++ Code Generation Path (New in v0.2)

Generate real, compilable C++ code that uses your existing parallel_f headers and can be dropped into any parallel_f project.

Example activation:

⫻cmd/generate_cpp_from_dag {
  source: "advanced_dependency_example",
  output_file: "generated_parallel_dag.cpp",
  include_headers: ["parallel_f.hpp"]
}

The generated code will look very close to the advanced example from your original parallel_f README, but derived automatically from the KickLang DAG.

Implementation Roadmap (TAS-aligned)

PF-WRAPPER-TAS-001 — KickLang DAG Parser (KickForge)
Robust parsing of make_task, task_list.append(deps), finish, flush, ⫻flow/parallel.

PF-WRAPPER-TAS-002 — TAS Metadata Attachment
Attach full TAS (id, purpose, keywords, applicability) to every generated task node.

PF-WRAPPER-TAS-003 — Runtime Translation & Delegation (KickFlow)
Map to parallel_f::task_list / make_task (Python binding or direct call).

PF-WRAPPER-TAS-004 — C++ Code Generator (KickFlow)
Emit complete, compilable .cpp + optional main() using parallel_f headers.

PF-WRAPPER-TAS-005 — Coherence & Stats Bridge
stats.show() → structured data for CoherenceMonitorBridge.

PF-WRAPPER-TAS-006 — Consent & Guard Layer (KickGuard)
Pre-execution consent check + drift detection. Halt conditions for ethical/coherence issues.

Consent / Halt Matrix

• Halt immediately on detected conflict with symbiotic co-agency or consent-first principles.
• Pause for confirmation on large DAGs or any task involving embodiment/Embodied Pipe.
• All executions and generations are logged with full TAS traceability.
• Route persona/embodiment-related generations through Dima patterns first.

Integration Points

• Consumes output from kicklang-evolution-predictor and kicklang-meta-playbook.
• Feeds directly into CoherenceMonitorBridge, tas-forecast-cycle, unified-metaforge.
• Can be registered as OCS participant via ocs-mcp-core or ocs-space-initializer.
• Works alongside underbody-inspection-pipeline, vision workloads, and multi-agent swarms.

Example Generated C++ (from 17-task DAG)

When code generation is invoked on the advanced example, it produces output very similar to your original parallel_f README advanced example, but fully derived from the KickLang source with TAS comments embedded.

Post-Activation Recommendations

• Implement the C++ code generator (high value for your existing parallel_f codebase).
• Create Python binding or use subprocess + JSON protocol for MVP runtime delegation.
• Register this skill in your OCS ecosystem (living-objective-tas-flow + meta-report-card).
• Test round-trip: KickLang DAG → generated C++ → compile & run with parallel_f.

---

Skill Status: v0.2.0-OCS — Now a full OCS participant with code-generation capability. Thin, coherent, and ready for implementation.

Coherence: High | Drift: Very Low | Symbiotic Value: High (bridges low-level parallel_f with high-level KickLang/OCS meta-infrastructure)

Next Steps (reply with number(s)):

1. Generate the full Python MVP stub + C++ code generator prototype files.
2. Create dedicated GitHub repo for this wrapper (or push enhanced version).
3. Activate meta-report-card-generation for this evolution cycle.
4. Integrate into underbody-inspection-pipeline or another concrete project.
5. Add visual diagram of syntax + codegen flow.