← All skill packs

AI Agent & Automation Workflows

Skill pack
2 skills0 selected
mhlavacSkills in this pack

Run a memory-consolidation pass ("dream") for a Claude Code subagent that uses the three-tier memory architecture. The agent re-reads its own .agents/ /memory/ files, decides per-entry to keep/drop/merge/promote/ enhance, applies the changes, and appends a structured stats entry to memory/DREAMS.md covering counts before/after, what was dropped and why, what was merged, what was promoted episodic→semantic, and what was rescored.

English

Ship any HTML artifact (architecture doc, design proposal, decision card, periodic-note conversation page, code-review summary) wired to receive two complementary channels of user feedback in a single envelope: (1) explicit form elements that you embed inline — textareas, radio groups, checkboxes, action buttons — keyed by stable question IDs so you can ask the user specific things; and (2) a freeform annotation overlay — highlight-then-comment on any text, drop pinned notes on diagrams/tables/callouts, free-form sketch on top of anything, plus un-anchored "general" comments. Both channels surface live in a single right-side panel and submit together. A small stdlib Python server receives the envelope and writes a paste-ready Markdown prompt you can hand straight to the next Claude turn.

English

Includes Agent:dream and Annotated Feedback.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills2CategoryengineeringStars0

What’s included

Agent:dream

Run a memory-consolidation pass ("dream") for a Claude Code subagent that uses the three-tier memory architecture. The agent re-reads its own .agents/ /memory/ files, decides per-entry to keep/drop/merge/promote/ enhance, applies the changes, and appends a structured stats entry to memory/DREAMS.md covering counts before/after, what was dropped and why, what was merged, what was promoted episodic→semantic, and what was rescored.

Annotated Feedback

Ship any HTML artifact (architecture doc, design proposal, decision card, periodic-note conversation page, code-review summary) wired to receive two complementary channels of user feedback in a single envelope: (1) explicit form elements that you embed inline — textareas, radio groups, checkboxes, action buttons — keyed by stable question IDs so you can ask the user specific things; and (2) a freeform annotation overlay — highlight-then-comment on any text, drop pinned notes on diagrams/tables/callouts, free-form sketch on top of anything, plus un-anchored "general" comments. Both channels surface live in a single right-side panel and submit together. A small stdlib Python server receives the envelope and writes a paste-ready Markdown prompt you can hand straight to the next Claude turn.

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Agent:dream skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
AI Agent & Automation Workflows | Agent Skills Atlas