القائمة
Fuse insights from multiple knowledge sources (code, docs, memory, research, web) into coherent understanding. Use when you have scattered information that needs integration.
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
A-Mem thought evolution — check which prior thoughts should be updated when a significant new insight arrives. Spawns a lightweight subagent to classify prior thoughts as UPDATE or NO_UPDATE, then applies revisions. Use during long reasoning sessions when you reach a synthesis, make a decision, or discover something that changes earlier assumptions. Triggers on "this changes what I thought earlier", "update prior reasoning", "evolve thoughts", or automatically on conclusion/synthesis thoughts in sessions >10 thoughts.
Cross-session knowledge retrieval from the Thoughtbox knowledge graph. Searches entities, traverses relations, retrieves observations, and synthesizes findings from past sessions. Use when you need to recall prior decisions, check what's already known about a topic, find related insights, or build on past work. Triggers on "what do we know about", "have we seen this before", "recall", "prior decisions about", "knowledge graph", or when starting work that might have prior context.
Capture significant learnings from the current work session. Structures insights for future sessions and updates agent memory.
Write or improve prompts for Codex using Anthropic's official best practices. Creates system prompts, agent prompts, tool descriptions, and MCP resource templates. Pass an existing prompt to improve it, or describe what you need to create one from scratch.
Generate architecture diagrams for a codebase subsystem or module. Explores source files and produces Mermaid diagrams in docs/.
Extract reusable principles and decision frameworks from accumulated experience. Use after significant work sessions, project milestones, or when you notice recurring patterns worth codifying.
| name | synthesize |
| description | Fuse insights from multiple knowledge sources (code, docs, memory, research, web) into coherent understanding. Use when you have scattered information that needs integration. |
| argument-hint | [topic to synthesize] |
| user-invocable | true |
| allowed-tools | Read, Glob, Grep, Bash, WebFetch, WebSearch |
Synthesize knowledge on this topic: $ARGUMENTS
Identify relevant knowledge sources across these categories:
| Source Type | Where to Look |
|---|---|
| Code | Current codebase (Glob/Grep), implementation patterns, tests, comments |
| Documentation | Specs, READMEs, ADRs, API docs in the repo |
| Memory | .claude/ project memory, agent memory, previous learnings |
| External research | WebSearch, Exa for papers, blog posts, community discussion |
| Issue history | selected tracker or handoff entries, closed issues, decision rationale |
Scan at least 3 source types. Don't rely on a single category.
For each source, extract:
Three integration strategies, used as appropriate:
Convergent — Multiple sources agree. High confidence. Extract the common principle.
Divergent — Sources disagree. Analyze why (different contexts? different values? different data?). Don't force resolution — document the conditions under which each view applies.
Complementary — Sources cover different facets. Weave into a complete picture, noting which source contributed which piece.
## Synthesis: [Topic]
### Sources Consulted
- [Source type]: [what was found]
### Convergent Findings (high confidence)
- [Finding]: supported by [sources]
### Divergent Findings (context-dependent)
- [Claim A] (applies when [X]) vs. [Claim B] (applies when [Y])
### Gaps
- [What no source addressed]
### Integrated Understanding
[Coherent narrative combining all sources — the actual synthesis]
### Confidence Assessment
[Overall confidence and what would increase it]
### Actionable Next Steps
[What to do with this understanding]