Delegate release work to a subagent that runs the claude-mem skills version-bump and childhood in order. Use it to coordinate those two stages as a single automated task.
Monitor a shipped release by checking published packages, live services, installed plugins, and late CI results or user reports. Verify regressions, prepare authorized fixes, and report release health with evidence and any remaining verification gaps.
Delegate a coding task to a subagent that runs build, merges the ready pull request, and continues from the updated main branch into release, connecting implementation and release work in one automated sequence.
Search screen text and audio recorded by Screenpipe to recall meetings or activity in other apps. Filter by topic, time, or application, then optionally save selected facts with source references into claude-mem.
Customize what claude-mem remembers by defining note categories and reusable tags through a guided conversation. Install and activate the configuration, verify it appears in startup context, and optionally set up Telegram alerts for selected notes.
Prepare to work on an unfamiliar project by reading every source file in full. Large files are read in chunks, building a shared understanding of the codebase before development begins.
Map a codebase into feature flowcharts, find duplicated logic, and propose a simpler shared architecture. Produce source-linked diagrams, an evidence-based duplication report, and prompts for handing each proposed system to /make-plan.
Organize a GitHub issue backlog by shared root cause, with one main tracking issue and design document per group. Route new reports into existing plans and prepare pull requests that address related bugs together with regression checks.
Set up claude-mem in Cursor with a local or remote worker, the process that runs its work. Follow configuration steps for remote inference through cmem.ai or a local observer using the host's login.
Turn agent activity and transcript token counts into a cost report organized around completed outcomes. Separate estimates from measured spending, examine waste and rework, and export readable HTML with supporting JSON, CSV, and evidence.
Turn a single document into a NotebookLM slide deck with cute characters and a clear narrative. The skill starts generation, provides a notebook link, and downloads the finished deck as a PDF when explicitly requested.
Find work and solutions from previous sessions using a staged memory search. Filter results by ID, inspect nearby context, and retrieve full observations or original tool inputs and responses only when needed.
Explore code through structural search: find functions and classes, view file outlines, and open only the implementations you need. It uses tree-sitter, a parser that identifies code structure, to limit how much source text is loaded.
Build a narrative project history from records stored in claude-mem. The report traces architectural changes, breakthroughs, debugging efforts, and work patterns, with timeline statistics and estimates of token savings from reusing recorded knowledge.
Search persistent Claude-Mem records on cmem.ai for context from earlier sessions across agents. Narrow keyword searches to relevant observations, then explain past work, decisions, and dates in plain language.
Carry out a phased implementation plan with subagents assigned to implementation, verification, pattern checks, and code review. Each phase must pass verification before changes are committed and pushed, with context prepared for the next phase.
Create a phased implementation plan for a feature or complex development task. It investigates documentation and existing examples, identifies supported APIs, and records concrete tasks, references, and verification checks for each phase.
Format completed work in Grok Bot's claude-mem workflow as searchable XML records with a title, facts, file paths, and narrative. Return a skip marker for idle or initialization states, or when no tool results exist.
Set up or check claude-mem memory syncing with cmem.ai Pro. Follow installer-based sign-in, verify the cloud connection, and review device details, pending writes, the last successful upload, and errors without sharing tokens in chat.
Understand how claude-mem turns Claude's actions into compact notes and adds relevant memories to later prompts. Learn when this starts, where local data is stored, and which external services receive information.
Set up claude-mem for Grok Bot with a local worker and CMEM Pro service for recording observations. The skill also covers an optional host-login setup and remote cmem.ai connection, without requiring Cursor.
Monitor a pull request through reviews and automated checks, verify reported issues against the code, and make focused fixes. Repeat testing and review checks until actionable comments and unresolved threads are cleared and the request is ready to merge.
Check a local claude-mem worker, refresh viewer-specific caches of important observations, and exclude or restore records without deleting history. Inspect rules across shared, project, and agent layers, then append conflicts to a report.
Review a design against Dieter Rams' ten principles using evidence from code, screenshots, copy, and measurements. Receive a scorecard, a verdict on whether to create, refine, or redesign, and a prompt for planning the next steps.
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