القائمة
Cross-project knowledge search, pattern recognition, and insight management — the long-term memory across all projects
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.
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/fabioc-aloha/ai-wallpaper-generator --skill global-knowledgeيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
استنادا إلى تصنيف SOC المهني
| name | global-knowledge |
| description | Cross-project knowledge search, pattern recognition, and insight management — the long-term memory across all projects |
Your past solved problems, searchable from any project.
| Type | Prefix | Purpose | Lifespan | Example |
|---|---|---|---|---|
| Pattern | GK-* | Reusable solution, proven in 2+ projects | Long-term | GK-error-handling-patterns.md |
| Insight | GI-* | Timestamped observation, may not generalize | Medium-term | GI-react-hooks-gotcha-2026-01-24.md |
Key distinction: A pattern is abstracted and proven. An insight is specific and dated. Insights may be promoted to patterns after validation.
| Command | Purpose |
|---|---|
/knowledge <query> | Search patterns + insights |
/saveinsight | Capture learning from current session |
/promote | Promote local knowledge to global pattern |
/knowledgestatus | Check GK health and stats |
Alex uses two complementary memory systems. Use the right one for the right data:
Cloud-synced preferences and personal context. Use for:
| Data | Example | Why Cloud |
|---|---|---|
| Preferences | "Use 4 spaces, dark mode" | Same across all machines |
| Coding Style | "Prefer functional components" | Consistent patterns |
| Learning Goals | "Master K8s by March" | Personal growth tracking |
| Session Notes | "Finish auth tests tomorrow" | Cross-session reminders |
Characteristics:
Local domain knowledge and project learnings. Use for:
| Data | Example | Why Local |
|---|---|---|
| Domain Expertise | "How OAuth2 works in our system" | Project-specific, detailed |
| Patterns (GK-*) | "Rate limiting implementation" | Searchable, categorized |
| Insights (GI-*) | "Fixed N+1 query with eager load" | Timestamped learnings |
| Session History | Episodic meditation records | Full context preserved |
Characteristics:
| Question | Copilot Memory | Global Knowledge |
|---|---|---|
| Is this personal preference? | ✅ | |
| Is this project know-how? | ✅ | |
| Should it sync to new machines? | ✅ | |
| Does it need full-text search? | ✅ | |
| Is it a learning goal? | ✅ | |
| Is it a pattern/solution? | ✅ |
User learns something → Is it personal? → Copilot Memory
→ Is it shareable? → Global Knowledge (GI-*)
→ Is it reusable? → Global Knowledge (GK-*)
No duplication: Each piece of information lives in ONE system.
When scanning project knowledge for promotion candidates, use these patterns to identify high-value content:
| Pattern | Description | Example |
|---|---|---|
| Cross-project applicability | Would 3+ other projects benefit? | Error handling strategy that works anywhere |
| Resolution pattern | Solved problem with concrete solution | "N+1 query fixed with eager loading" |
| Hard-won gotchas | Prevents repeat mistakes | "Jest timers require runAllTimers() after async" |
| Architecture with rationale | ADR-style decisions with "why" | "Chose event sourcing because..." |
| Pipeline/workflow patterns | Automatable processes | CI/CD template, release flow |
| Integration patterns | How systems connect | OAuth flow, API gateway setup |
| Migration patterns | Version/format transformations | "Upgrading from v3 to v4 schema" |
| Schema/format patterns | Data structures that work | Synapse JSON schema, config templates |
| Signal | Why Skip | Example |
|---|---|---|
| Project-specific config | Only works in one context | "Our AWS account settings" |
| Temporary workarounds | Will be obsolete | "Hack until v2.0 releases" |
| Personal preferences | Not generalizable | "I like 4 spaces" |
| Incomplete/draft content | Needs validation | Work-in-progress notes |
| Already in GK | Avoid duplicates | Check index.json first |
| Too specific names/IDs | Not portable | Hardcoded team names, repo URLs |
The extension evaluates skill files with this scoring:
| Criteria | Points | Detection |
|---|---|---|
| Has synapses | +3 | Synapse format in content |
| Well-structured (3+ H2 sections) | +2 | ## Section headings |
| Has tags defined | +1 | **Tags**: tag1, tag2 |
| Substantial content (>1KB) | +1 | File size |
| Rich content (>5KB) | +2 | File size |
| Has code examples | +2 | Code blocks in content |
| General applicability | +1-3 | Contains: pattern, best practice, guideline, framework, principle, architecture |
Minimum for auto-promotion: Score ≥ 5
Is this knowledge?
├── Personal preference → Copilot Memory (not GK)
├── Project-specific config → Keep in project skills
├── Would I search for this in another project?
│ ├── No → Keep in project skills
│ └── Yes → Continue...
│ ├── Is it a reusable solution? → Pattern (GK-*)
│ └── Is it a timestamped learning? → Insight (GI-*)
These patterns were identified during cross-project knowledge curation:
Promoted as Patterns (GK-*):
GK-kill-switch-pattern-protecting-master-alex.md — Safety mechanism applicable to any critical systemGK-synapse-schema-2026-standard.md — Data format standard for the entire architectureGK-domain-knowledge-azure-synapse-pipeline-.md — ETL patterns for data engineeringPromoted as Insights (GI-*):
GI-agent-consolidation-pattern-kiss-merge-2026-02-09.md — Lesson from merging duplicate agentsGI-schema-migration-discrimination-flag-vs-change-2026-02-09.md — Distinguishing migration typesGI-post-upgrade-verification-checklist-2026-02-09.md — Checklist developed after failed upgradeWhen curating from multiple projects:
| Source Type | Priority | Rationale |
|---|---|---|
| Master Alex episodic memories | Highest | Core cognitive learnings |
| Production project skill files | High | Battle-tested knowledge |
| Platform heir skill files | Medium | May have implementation-specific details |
| Research/experimental projects | Lower | May not be validated |
| Archive content | Lowest | May be outdated |
@alex /promote # Interactive promotion from project DK
@alex /saveinsight # Quick insight capture
@alex /knowledgestatus # Check current GK health
@alex /knowledge <query> # Search before adding (avoid duplicates)
Synapse: heir-skill-promotion.instructions.md (0.9, procedural, bidirectional) — "How skills move from heirs to Master" Synapse: global-knowledge-curation.instructions.md (0.85, procedural, bidirectional) — "Periodic cleanup and implementation" Synapse: unified-meditation-protocols.prompt.md (0.8, episodic, forward) — "Auto-promotion during meditation"