Menü
Orchestrate one Crash WOC unit or one function with Copilot using the repo-local helper scripts, prompt entry points, and a one-writer-at-a-time workflow.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Generate and run provider-neutral decompilation task packs in crashwoc-decomp. Use when an agent should turn a unit, function, or decomp.me bundle into a self-contained task pack and run it against any backend (print, copilot, codex, claude, aider, or gemini).
Autonomous matching-decompilation workflow for Crash WOC GameCube units. Use when the agent needs to decomp-match functions in a C source file.
Query the local Crash WOC Ghidra project through analyzeHeadless.bat for function lookup, decompilation, disassembly, and datatype inspection.
Diagnose build failures, progress regressions, and single-object compile problems in crashwoc-decomp. Use when Codex needs to narrow a failing target, inspect report data, or summarize changes from ninja changes.
Drive symbol-to-verification matching work in crashwoc-decomp. Use when Codex needs to take a symbol or unit from lookup through context gathering, narrow local builds, and final regression checks.
Onboard Codex to crashwoc-decomp. Use when working in this repository and Codex needs the project layout, build and verification commands, generated-file rules, helper tooling, or the standard workflow for Crash Bandicoot: The Wrath of Cortex GameCube decompilation.
| name | agent-orchestration |
| description | Orchestrate one Crash WOC unit or one function with Copilot using the repo-local helper scripts, prompt entry points, and a one-writer-at-a-time workflow. |
Use this skill when the task is larger than a one-off lookup but should still stay tightly scoped to one file or one function.
python tools/ai_orchestrate.py --unit <unit-or-path>python tools/ai_orchestrate.py --function <symbol-or-address>.github/prompts/orchestrate-unit.prompt.md.github/prompts/match-function.prompt.md.github/prompts/reverse-engineer.prompt.mdai_lookup_symbol.py, ai_lookup_unit.py, ai_context.py, ai_match_plan.py, and ai_ghidra.py over ad hoc repo-wide searching.objdiff-cli diff sessions in automated loops.python tools/ai_orchestrate.py --unit <unit-or-path> --no-launch --print-prompt.--no-launch when ready.python tools/ai_match_plan.py <unit-or-path> after each measurable change.python tools/ai_orchestrate.py --function <symbol-or-address> --no-launch --print-prompt.ai_lookup_symbol.py and ai_context.py.ai_ghidra.py if the original-side context is still unclear.