القائمة
Use to localize unknown ARIA-NBV files, symbols, docs, or source families through deterministic local discovery before handoff.
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
Use for ARIA-NBV Typst proposal/thesis authoring, shared notation, scientific prose, citations, scientific/geometric figures, tables, Mermaid inclusion, and compile/render QA.
Use for any question about a codebase, its architecture, file relationships, or project content — especially when graphify-out/ exists, where the question should be treated as a graphify query first. Turns any input (code, docs, papers, images, videos) into a persistent knowledge graph with god nodes, community detection, and query/path/explain tools.
Use when reviewing ARIA-NBV working-tree or PR diffs, following up external/model review findings, or supplying ARIA-NBV domain context to the oh-my-codex code-review harness with severity-ranked file and line findings.
Use to diagnose ARIA-NBV bugs, regressions, failing metrics, Streamlit issues, docs builds, KG failures, or suspicious outputs.
Use when ARIA-NBV work touches pose, camera, coordinate-frame, CW90, PyTorch3D projection, depth backprojection, candidate frusta, or geometry diagnostics contracts.
Stress-test vague, high-impact, research-facing, advisor-facing, or cross-surface ARIA-NBV decisions before implementation, including theory-rich or elaborate Plan Mode option analysis when requested.
| name | aria-nbv-context |
| description | Use to localize unknown ARIA-NBV files, symbols, docs, or source families through deterministic local discovery before handoff. |
| metadata | {"mode":"router","not_when":["exact file and owner are already known","KG-backed authority, freshness, or claim checking is required","a concrete failure command or traceback owns the task"],"handoff_to":["aria-litkg-memory for KG-backed retrieval, routing, or claim checks","diagnose-aria for concrete failures","nearest AGENTS.md or narrow skill after localization"],"evidence_required":["localized owning files or source family","nearest applicable AGENTS.md","targeted rg or generated context evidence"],"applies_to":["**"],"triggers":["locate files","cross-surface context","where is this implemented","source family"],"must_read":["AGENTS.md",".agents/references/source_order.md"],"canonical_sources":["AGENTS.md",".agents/references/source_order.md#role-split",".agents/skills/aria-nbv-context/references/context_map.md"],"literature_refs":["docs/contents/literature/index.qmd","docs/literature/sources.jsonl","quality-driven-rri","finite-candidate-rl"],"tool_refs":["mcp__code_index.search_code_advanced","mcp__code_index.get_symbol_body"],"verification":["make context when generated context is stale or missing"]} |
Use this skill as the local discovery layer. It should identify the smallest relevant set of files, then hand off to a narrower implementation, docs, KG, or diagnostic workflow.
AGENTS.md and .agents/references/source_order.md.docs/_generated/context/source_index.md only when it already exists or
source-family routing is unclear; refresh with make context only when
needed.scripts/nbv_qmd_outline.sh --compactscripts/nbv_typst_includes.py --paper --mode outlinescripts/nbv_literature_index.shscripts/nbv_get_context.sh modules|contracts|match <term>AGENTS.md once the surface is known.rg inside the narrowed file set.When asked to map a surface, return:
AGENTS.mdreferences/context_map.md for non-obvious concept-to-source routing.