القائمة
Design and scaffold evaluations comparing single-candidate Composer coding against adaptive Heavy Coder candidate teams.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Keep coordinator and leaf context lean-batch reads, cap logs, use execute_code to filter-so swarms stay fast and within token limits.
Use at the start of non-trivial software tasks. Gather repo ground truth with batched reads and searches before planning or delegate_task.
Obey Plan 1A hook session phases so mutating tools, delegate_task sizing, and re-planning do not waste turns or trigger blocks.
Use when spawning delegate_task leaves for coding work. Pack self-contained goals and context so parallel Composer workers ship verifiable patches without coordinator chat history.
Require structured candidate-result JSON from swarm leaves so critique_candidates.py and synthesis run on evidence, not prose self-reports.
Enrich slim hook-injected delegate_tasks with touch map, failure excerpts, and verification commands so parallel leaves produce verifiable patches without coordinator chat history.
| name | heavy-coding-eval |
| description | Design and scaffold evaluations comparing single-candidate Composer coding against adaptive Heavy Coder candidate teams. |
| version | 0.1.0 |
| author | CodeGraphTheory |
| license | MIT |
Use this skill when planning or running Heavy Coder evaluations.
Scaffolded. Benchmark execution is not implemented.
candidate_widths), blind comparative critic, reasoning-model synthesis when available, same verifier.