Synthesize recent workspace learnings into structured memory files.
npx skills add https://github.com/mishahanin/heading-os --skill dream-mishahanin
Please help me install this Agent Skill. Skill: dream Source: https://github.com/mishahanin/heading-os/tree/main/.claude/skills/dream Command: npx skills add https://github.com/mishahanin/heading-os --skill dream-mishahanin
This skill solves the problem of memory fragmentation and stale information in long-running agent sessions by synthesizing recent learnings into a structured, durable, and secure knowledge base.
Type /dream to initiate a reflective pass over your recent session memories and consolidate new learnings.
High-intent search queries and answers about installing and using this skill.
Memory consolidation synthesizes recent workspace learnings into structured, durable memory files within a canonical auto-memory directory. This process maintains session-to-session continuity and ensures technical accuracy for future interactions.
Reflective memory consolidation merges recent session learnings into organized memory files, ensuring future sessions start with high-context awareness. You need it to solve memory fragmentation and stale information in long-running agent sessions.
Memory hygiene prunes stale entries and orphans to keep the workspace clean. Mandatory security gates and validation checks enforce memory integrity, preventing the persistence of sensitive or stale data during consolidation.
Yes, strict security protocols validate technical claims against the Context7 library during the consolidation process. This validation prevents hallucinations and stops outdated information from persisting in your structured knowledge base.
The best way to maintain continuity is performing a reflective pass over recent session memories to consolidate new learnings. This automatically merges knowledge into organized files, ensuring future sessions start with high-context awareness.
Memory hygiene operates within defined line budgets, pruning stale entries and orphans to keep the workspace clean. Limitations include strict enforcement of security protocols and validation checks that may reject unvalidated technical claims.
aphrody-codeConsolidate recent session learnings into a structured memory directory.
unclehowellOrganize knowledge into PARA-based memory files with three-layer structure.
motoki317Verify user claims against Context7 and web sources, producing discrepancy reports.
billydeeii136Manages and reviews project learnings across sessions.
