manage-memory
Acerca de
La habilidad `manage-memory` ayuda a los desarrolladores a organizar la memoria persistente de Claude Code manteniendo MEMORY.md como un índice conciso y extrayendo temas detallados en archivos separados. Detecta automáticamente entradas obsoletas, verifica su precisión con respecto al proyecto actual y hace cumplir la restricción del límite de 200 líneas. Utilice esta habilidad cuando MEMORY.md se aproxime a su límite de líneas, después de sesiones productivas con ideas perdurables, o cuando cambios en el proyecto puedan haber dejado obsoletas las entradas de la memoria.
Instalación rápida
Claude Code
Recomendadonpx skills add pjt222/agent-almanac -a claude-code/plugin add https://github.com/pjt222/agent-almanacgit clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/manage-memoryCopia y pega este comando en Claude Code para instalar esta habilidad
Documentación
Manage Memory
Maintain Claude Code's persistent memory directory so it stays accurate, concise, and useful across sessions. MEMORY.md is loaded into the system prompt on every conversation — lines after 200 are truncated, so this file must be a lean index pointing to topic files for detail.
When to Use
- MEMORY.md is approaching the 200-line truncation threshold
- A session produced durable insights worth preserving (new patterns, architecture decisions, debugging solutions)
- A topic section in MEMORY.md has grown beyond 10-15 lines and should be extracted
- Project state has changed (renamed files, new domains, updated counts) and memory entries may be stale
- Starting a new area of work and checking whether relevant memory already exists
- Periodic maintenance between sessions to keep the memory directory healthy
Inputs
- Required: Access to the memory directory (typically
~/.claude/projects/<project-path>/memory/) - Optional: Specific trigger (e.g., "MEMORY.md is too long," "just finished a major refactor")
- Optional: Topic to add, update, or extract
Procedure
Step 1: Assess Current State
Read MEMORY.md and list all files in the memory directory:
wc -l <memory-dir>/MEMORY.md
ls -la <memory-dir>/
Check the line count against the 200-line limit. Inventory existing topic files.
Got: Clear picture of total lines, number of topic files, and which sections exist in MEMORY.md.
If fail: If the memory directory doesn't exist, create it. If MEMORY.md doesn't exist, create a minimal one with a # Project Memory header and a ## Topic Files section.
Step 2: Identify Stale Entries
Compare memory claims against current project state. Common staleness patterns:
- Count drift: File counts, skill counts, domain counts that changed after additions/removals
- Renamed paths: Files or directories that were moved or renamed
- Superseded patterns: Workarounds that are no longer needed after fixes
- Contradictions: Two entries that say different things about the same topic
Use Grep to spot-check key claims:
# Example: verify a skill count claim
grep -c "^ - id:" skills/_registry.yml
# Example: verify a file still exists
ls path/claimed/in/memory.md
Got: A list of entries that are stale, with the correct current values.
If fail: If you can't verify a claim (e.g., it references external state you can't check), leave it but add a (unverified) note rather than silently preserving potentially wrong information.
Step 3: Decide What to Add
For new entries, apply these filters before writing:
- Durability: Will this be true next session? Avoid session-specific context (current task, in-progress work, temporary state).
- Non-duplication: Does CLAUDE.md or project documentation already cover this? Don't duplicate — memory is for things NOT captured elsewhere.
- Verified: Has this been confirmed across multiple interactions, or is it a single observation? For single observations, verify against project docs before writing.
- Actionable: Does knowing this change behavior? "The sky is blue" isn't useful. "Exit code 5 means quoting error — use temp files" changes how you work.
Exception: If the user explicitly asks to remember something, save it immediately — no need to wait for multiple confirmations.
Got: A filtered list of entries worth adding, each meeting durability + non-duplication + verification + actionability criteria.
If fail: If unsure whether an entry is worth keeping, err toward keeping it briefly in MEMORY.md — it's easier to prune later than to rediscover.
Step 4: Extract Oversize Topics
When a section in MEMORY.md exceeds ~10-15 lines, extract it to a dedicated topic file:
- Create
<memory-dir>/<topic-name>.mdwith a descriptive header - Move the detailed content from MEMORY.md to the topic file
- Replace the section in MEMORY.md with a 1-2 line summary and a link:
## Topic Files
- [topic-name.md](topic-name.md) — Brief description of contents
Naming conventions for topic files:
- Use lowercase kebab-case:
viz-architecture.md, notVizArchitecture.md - Name by topic, not chronology:
patterns.md, notsession-2024-12.md - Group related items: combine "R debugging" and "WSL quirks" into
patterns.mdrather than creating one file per fact
Got: MEMORY.md stays under 200 lines. Each topic file is self-contained and readable without MEMORY.md context.
If fail: If a topic file would be fewer than 5 lines, it's probably not worth extracting — leave it inline in MEMORY.md.
Step 5: Update MEMORY.md
Apply all changes: remove stale entries, add new entries, update counts, and ensure the Topic Files section lists all dedicated files.
MEMORY.md structure should follow this pattern:
# Project Memory
## Section 1 — High-level context
- Bullet points, concise
## Section 2 — Another topic
- Key facts only
## Topic Files
- [file.md](file.md) — What it covers
Guidelines:
- Keep each bullet to 1-2 lines maximum
- Use inline formatting (
code, bold) for scanability - Put the most frequently needed context first
- The Topic Files section should always be last
Got: MEMORY.md is under 200 lines, accurate, and has working links to all topic files.
If fail: If you can't get under 200 lines after extraction, identify the least-frequently-used section and extract it. Every section is a candidate — even the project structure overview can go to a topic file if needed, leaving a 1-line summary.
Step 6: Verify Integrity
Run a final check:
- Line count: Confirm MEMORY.md is under 200 lines
- Links: Verify every topic file referenced in MEMORY.md exists
- Orphans: Check for topic files not referenced in MEMORY.md
- Accuracy: Spot-check 2-3 factual claims against project state
wc -l <memory-dir>/MEMORY.md
# Check for broken links
for f in $(grep -oP '\[.*?\]\(\K[^)]+' <memory-dir>/MEMORY.md); do
ls <memory-dir>/$f 2>/dev/null || echo "BROKEN: $f"
done
# Check for orphan files
ls <memory-dir>/*.md | grep -v MEMORY.md
Got: Line count under 200, no broken links, no orphan files, spot-checked claims are accurate.
If fail: Fix broken links (update or remove). For orphan files, either add a reference in MEMORY.md or delete them if they're no longer relevant.
Validation
- MEMORY.md is under 200 lines
- All topic files referenced in MEMORY.md exist on disk
- No orphan
.mdfiles in memory directory (every file is linked from MEMORY.md) - No stale counts or renamed paths in any memory file
- New entries meet the durability/non-duplication/verified/actionable criteria
- Topic files have descriptive headers and are self-contained
- MEMORY.md reads as a useful quick-reference, not a changelog
Pitfalls
- Memory file pollution: Writing every session observation to memory. Most findings are session-specific and don't need persisting. Apply the four filters (Step 3) before writing.
- Stale counts: Updating code but not memory. Counts (skills, agents, domains, files) drift silently. Always verify counts against the source of truth before trusting memory.
- Chronological organization: Organizing by "when I learned it" instead of "what it's about." Topic-based organization (
patterns.md,viz-architecture.md) is far more useful for retrieval than date-based files. - Duplicating CLAUDE.md: CLAUDE.md is the authoritative project instruction file. Memory should capture things NOT in CLAUDE.md — debugging insights, architecture decisions, workflow preferences, cross-project patterns.
- Over-extraction: Creating a topic file for every 3-line section. Only extract when a section exceeds ~10-15 lines. Small sections work fine inline.
- Forgetting the 200-line limit: MEMORY.md is loaded into every system prompt. Lines after 200 are silently truncated. If the file grows past this, the bottom content is effectively invisible.
Related Skills
write-claude-md— CLAUDE.md captures project instructions; memory captures cross-session learningprune-agent-memory— the inverse of manage-memory: auditing, classifying, and selectively forgetting stored memorieswrite-continue-here— write a structured continuation file for session handoff; complements memory as a short-term context bridgeread-continue-here— read and act on a continuation file at session start; the consumption side of the handoffcreate-skill— new skills may produce memory-worthy patternsheal— self-healing may update memory as part of integration stepmeditate— meditation sessions may surface insights worth persisting
Repositorio GitHub
Habilidades relacionadas
qmd
Desarrolloqmd es una herramienta CLI de búsqueda e indexación local que permite a los desarrolladores indexar y buscar en archivos locales mediante búsqueda híbrida que combina BM25, embeddings vectoriales y reranking. Es compatible tanto con uso desde la línea de comandos como con modo MCP (Model Context Protocol) para integración con Claude. La herramienta utiliza Ollama para los embeddings y almacena los índices localmente, lo que la hace ideal para buscar documentación o bases de código directamente desde la terminal.
subagent-driven-development
DesarrolloEsta habilidad ejecuta planes de implementación asignando un nuevo subagente para cada tarea independiente, con revisión de código entre tareas. Permite una iteración rápida mientras mantiene controles de calidad a través de este proceso de revisión. Úsala cuando trabajes en tareas mayormente independientes dentro de la misma sesión para garantizar un progreso continuo con verificaciones de calidad integradas.
mcporter
DesarrolloLa habilidad mcporter permite a los desarrolladores gestionar y llamar servidores del Protocolo de Contexto de Modelo (MCP) directamente desde Claude. Proporciona comandos para listar servidores disponibles, llamar a sus herramientas con argumentos, y manejar la autenticación y el ciclo de vida del daemon. Utiliza esta habilidad para integrar y probar la funcionalidad de servidores MCP en tu flujo de trabajo de desarrollo.
adk-deployment-specialist
DesarrolloEsta habilidad despliega y orquesta agentes Vertex AI ADK utilizando el protocolo A2A, gestionando el descubrimiento de AgentCard, el envío de tareas y soportando herramientas como el Sandbox de Ejecución de Código y el Banco de Memoria. Permite construir sistemas multiagente con patrones de orquestación secuencial, paralela o en bucle en Python, Java o Go. Úsela cuando se le solicite desplegar agentes ADK u orquestar flujos de trabajo de agentes en Google Cloud.
