Email, calendars, task management, and automation (7.8K skills)
Send work requests to another connected CCB agent with ask. Choose options according to whether the current task depends on the result or the work is independent, with terminal results routed through the existing request chain.
Compact conversation context, the information carried through a conversation, for one or more CCB-managed agents without restarting them or deleting state. The skill runs the matching ccb compact command and reports its output.
Reset conversation context for all configured CCB agents or selected agents by name using ccb clear. Keeps project state intact and reports the command output after a single matching command.
Clear conversation context for all mounted CCB agents or selected agents by name using ccb clear. Reset their provider conversations while preserving project state, workspaces, authentication, sessions, logs, and memory files, then report the command output.
Turn user conversations into structured workflow requests for a Planner. Capture scope, required behavior, constraints, and blockers, then present clarification or validated Planner reports so users can understand progress and unresolved work.
Delegate work or ask questions through CCB agents, choosing whether you need a brief answer, a preserved full response, or no success report. Select request options according to task dependencies and whether exact input must be retained.
Measure the size, connections, health, and recent growth of an Ars Contexta note collection. View processing backlogs, identify unlinked notes and broken links, and generate a compact Markdown summary for sharing progress.
Review observations and unresolved conflicts from a knowledge-management workflow. Compare documented practices with actual settings, identify recurring problems, and propose specific changes with supporting evidence, risks, and reversibility details for human approval.
Refresh older notes using newer related material. The skill reviews claims, adds explained connections, and considers clearer wording, revisions, or splits, then reports what changed and why. Interactive use presents proposed edits for approval first.
Check individual notes or an entire collection against templates, including required fields, descriptions, allowed values, YAML metadata formatting, and broken links. Get results grouped by severity, recurring issue summaries, and specific suggestions for fixing each problem.
Plan a system for capturing, organizing, and retrieving knowledge based on your goals, note volume, and maintenance preferences. Get a proposed structure, research references, confidence levels, and trade-offs, or compare two approaches before building.
Build a local knowledge system through a conversation about what you want to track and remember. The skill proposes a structure, then generates connected Markdown notes, processing skills, templates, and automation suited to the detected environment.
Process a source file into connected notes through one workflow. The skill coordinates claim extraction, note creation, updates to existing notes, verification, and archiving, with saved task progress that supports resuming interrupted work.
Process queued knowledge work by assigning note creation, linking, enrichment, and verification to separate subagents. Choose how much work to run, filter tasks, preview execution, or process claims in parallel, with progress tracked in the queue.
Compare a note collection’s current settings with its original design, then review a restructuring plan covering folders, templates, skills, and links. After approval, apply the changes and check that the updated collection remains consistent.
Find available commands and choose what to do next in an Ars Contexta note collection. Guidance adapts to the collection’s current state, with introductory explanations, contextual suggestions, a compact reference, and help for individual skills.
Turns corrections and workflow problems into reusable guidance for future agent sessions. Accepts direct instructions, reviews recent conversation, or scans saved session transcripts, checking existing notes to avoid duplicate guidance.
Adds a new subject area to an existing knowledge system. Through conversation, defines suitable terms, note fields, and processing methods, then creates folders and templates that connect with the existing structure after approval.
Check a collection of linked notes for missing metadata, broken links, isolated notes, and processing backlogs. Choose a quick or broader review and receive a report naming affected files and ranking recommended fixes by impact.
Choose the next action for maintaining and developing your knowledge collection. The skill checks tasks, unprocessed material, broken links, and goals, then recommends one concrete action with reasons while giving priority to your stated tasks.
Analyze a knowledge system using health reports, recurring workflow problems, and original design decisions. Receive ranked improvement proposals with research support, time estimates, and risks, with changes implemented only after approval.
View personal priorities alongside an automated processing queue, a list of work awaiting processing. Add, complete, remove, or reorder tasks, and review completed work, discoveries, and batches ready to archive in one combined view.
Prepare source files for knowledge extraction by checking duplicates, creating archive folders and extraction tasks, and updating the processing queue. Files in the inbox move to the archive, while files outside it stay in place.
Explore how notes connect through links. Ask plain language questions to find isolated notes, important connectors, and potential new relationships, then receive explanations and concrete suggestions for improving the network.