CAT
/Skills
SkillsMCPMarketplacesDigestToolsAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Cross AI Tools

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Tools
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Memory Tasks

basicmachines-co/basic-memory-skills
380 installs20 stars
Summary

Turns Basic Memory notes into a proper task system by treating tasks as schema-validated entities in the knowledge graph. You create tasks with structured fields like status, steps, and current_step, then query them back after context compaction to resume work. The real value is the context field: it forces you to write down what future-you needs to pick up multi-step work after amnesia. Search for active tasks on session start, update progress as you go, and do a pre-compaction flush to externalize state before memory loss. It's lightweight structured memory for work that outlasts the context window.

Install to Claude Code

npx -y skills add basicmachines-co/basic-memory-skills --skill memory-tasks --agent claude-code

Installs into .claude/skills of the current project.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Files
SKILL.md

Memory Tasks

Manage work-in-progress using Basic Memory's schema system. Tasks are just notes with type: Task — they live in the knowledge graph, validate against a schema, and survive context compaction.

When to Use

  • Starting multi-step work (3+ steps, or anything that might outlast the context window)
  • After compaction/restart — search for active tasks to resume
  • Pre-compaction flush — update all active tasks with current state
  • On demand — user asks to create, check, or manage tasks

Task Schema

Tasks use the BM schema system (SPEC-SCHEMA). The schema note lives at memory/schema/Task.md:

---
title: Task
type: schema
entity: Task
version: 1
schema:
  description: string, what needs to be done
  status?(enum): [active, blocked, done, abandoned], current state
  assigned_to?: string, who is working on this
  steps?(array): string, ordered steps to complete
  current_step?: integer, which step number we're on (1-indexed)
  context?: string, key context needed to resume after memory loss
  started?: string, when work began
  completed?: string, when work finished
  blockers?(array): string, what's preventing progress
  parent_task?: Task, parent task if this is a subtask
settings:
  validation: warn
---

Creating a Task

When work qualifies, create a task note. Use write_note with note_type="Task" and put queryable fields in metadata:

write_note(
  title="Descriptive task name",
  directory="tasks",
  note_type="Task",
  metadata={
    "status": "active",
    "priority": "high",
    "current_step": 1,
    "steps": ["First step", "Second step", "Third step"]
  },
  tags=["task"],
  content="""# Descriptive task name

## Observations
- [description] What needs to be done, concisely
- [status] active
- [assigned_to] claude
- [current_step] 1

## Steps
1. [ ] First concrete step
2. [ ] Second concrete step
3. [ ] Third concrete step

## Context
What future-you needs to pick up this work. Include:
- Key file paths and repos involved
- Decisions already made and why
- What was tried and what worked/didn't
- Where to look for related context"""
)

Why both frontmatter and observations? Fields in metadata (stored as frontmatter) power search_notes with metadata_filters. Fields as observations (- [status] active) power schema_validate. Include queryable fields in both places for full coverage.

Key Principles

  • Steps are concrete and checkable — "Implement X in file Y", not "figure out stuff"
  • Context is for post-amnesia resumption — Write it as if explaining to a smart person who knows nothing about what you've been doing
  • Relations link to other entities — parent_task [[Other Task]], related_to [[Some Note]]
  • note_types is case-sensitive — write_note(note_type="Task") stores the type as lowercase task in frontmatter. Use note_types=["task"] (lowercase) in search queries.

Resuming After Compaction

On session start or after compaction:

  1. Search for active tasks:

    search_notes(note_types=["task"], status="active")
    
  2. Read the task note to get full context

  3. Resume from current_step using the context field

  4. Update as you progress — increment current_step, update context, check off steps

Updating Tasks

As work progresses, update the task note:

## Steps
1. [x] First step — done, resulted in X
2. [x] Second step — done, changed approach because Y
3. [ ] Third step — next up

## Context
Updated context reflecting current state...

Update frontmatter too:

current_step: 3

Completing Tasks

When done:

status: done
completed: YYYY-MM-DD

Add a brief summary of what was accomplished and any follow-up needed.

Pre-Compaction Flush

When a compaction event is imminent:

  1. Find all active tasks: search_notes(note_types=["task"], status="active")
  2. For each, update:
    • current_step to reflect actual progress
    • context with everything needed to resume
    • Step checkboxes to show what's done
  3. This is critical — context not written down is context lost

Querying Tasks

With BM's schema system, tasks are fully queryable:

QueryWhat it finds
search_notes(note_types=["task"])All tasks
search_notes(note_types=["task"], status="active")Active tasks
search_notes(note_types=["task"], status="blocked")Blocked tasks
search_notes(note_types=["task"], metadata_filters={"assigned_to": "claude"})My tasks
search_notes("blockers", note_types=["task"])Tasks with blockers
schema_validate(noteType="Task")Validate all tasks against schema
schema_diff(noteType="Task")Detect drift between schema and actual task notes

Guidelines

  • One task per unit of work — Don't cram multiple projects into one task
  • Externalize early — If you think "I should remember this", write it down NOW
  • Context > steps — Steps tell you what to do; context tells you why and how
  • Close finished tasks — Don't leave completed work as active
  • Link related tasks — Use parent_task [[X]] or relations to connect related work
  • Schema validation is your friend — Run schema_validate(noteType="Task") periodically to catch incomplete tasks
Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Keep your Mac awake
Keep your Mac awake
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
First SeenJun 3, 2026
View on GitHub

Recommended

caveman

juliusbrussee/caveman

Ultra-compressed communication mode cutting token usage ~75% while preserving technical accuracy.
203.4k
67.8k
grill-me

mattpocock/skills

Relentless interviewing skill that stress-tests plans and designs through systematic questioning.
250.9k
114.5k
improve

shadcn/improve

Survey any codebase as a senior advisor and produce prioritized, self-contained implementation plans for other models/agents to execute.
10
205
systematic-debugging

obra/superpowers

Structured debugging methodology that mandates root cause investigation before attempting any fixes.
124.6k
215.9k
karpathy-guidelines

forrestchang/andrej-karpathy-skills

Behavioral guidelines to reduce common LLM coding mistakes through explicit assumptions, simplicity, and verifiable success criteria.
13.9k
165.4k
find-skills

vercel-labs/skills

Discover and install specialized agent skills from the open ecosystem when users need extended capabilities.
1.8M
21.1k