القائمة
Sub-skill of memory-management: Decoding User Input (Tiered Lookup) (+3).
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/vamseeachanta/workspace-hub --skill memory-management-decoding-user-input-tiered-lookupيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
| name | memory-management-decoding-user-input-tiered-lookup |
| description | Sub-skill of memory-management: Decoding User Input (Tiered Lookup) (+3). |
| version | 1.0.0 |
| category | business |
| type | reference |
| scripts_exempt | true |
Always decode shorthand before acting on requests:
1. AGENTS.md (hot cache) → Check first, covers 90% of cases
2. memory/glossary.md → Full glossary if not in hot cache
3. memory/people/, projects/ → Rich detail when needed
4. Ask user → Unknown term? Learn it.
Example:
User: "ask todd to do the PSR for oracle"
AGENTS.md lookup:
"todd" → Todd Martinez, Finance ✓
"PSR" → Pipeline Status Report ✓
"oracle" → (not in hot cache)
memory/glossary.md lookup:
"oracle" → Oracle Systems deal ($2.3M) ✓
Now Codex can act with full context.
When user says "remember this" or "X means Y":
Glossary items (acronyms, terms, shorthand):
People:
Projects:
Preferences: Add to AGENTS.md Preferences section
When user asks "who is X" or "what does X mean":