skill-creator
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from…
Activate for: configure agentic office, install agentic office, agentic office orientation, two-plugin architecture, create work.local, initialise workplace memory, agentic office getting started, configure agents, workplace configuration. NOT for: official productivity plugin
Claude Code
$ npx -y skills add panaversity/agentfactory-business-plugins --skill setup --agent claude-code
Codex
$ npx skills add panaversity/agentfactory-business-plugins --skill setup -a codex -y
Cursor
$ npx skills add panaversity/agentfactory-business-plugins --skill setup -a cursor -y
Gemini CLI
$ npx skills add panaversity/agentfactory-business-plugins --skill setup -a gemini-cli -y
GitHub Copilot
$ npx skills add panaversity/agentfactory-business-plugins --skill setup -a github-copilot -y
OpenCode
$ npx skills add panaversity/agentfactory-business-plugins --skill setup -a opencode -y
Windsurf
$ npx skills add panaversity/agentfactory-business-plugins --skill setup -a windsurf -y
name: setup description: > Activate for: configure agentic office, install agentic office, agentic office orientation, two-plugin architecture, create work.local, initialise workplace memory, agentic office getting started, configure agents, workplace configuration. NOT for: official productivity plugin setup (use /productivity:start).
This skill creates your `work.local.md` workplace memory file from the bundled template and orients you to the two-plugin architecture.
Read `work.local.md` in the current working directory. If it already exists, skip to STEP 4 (orientation only).
Copy the template from `${CLAUDE_PLUGIN_ROOT}/work.local.md.template` to `work.local.md` in the current working directory.
Tell the user:
I have created work.local.md from the Agentic Office template. This file is your four-layer workplace memory — the foundation for all professional intelligence features.
Walk the user through filling in each layer interactively:
**Layer 1 — Personal:** Ask for: name, role, working style, decision-making approach, current focus (top 1-3 priorities), working hours, communication preference.
**Layer 2 — Team (People):** Ask: "Who are the 5-8 people you interact with most? For each, I need: name, role, how they prefer to receive information, and what they are working on right now."
**Layer 3 — Projects:** Ask: "What are your active projects? For each: name, any internal codename, current status, priority (P1/P2/P3), and what is happening right now."
**Layer 4 — Organisational:** Ask: "What internal terms, acronyms, or codenames would confuse an outsider? What are your recurring meetings? Any unwritten rules that every colleague knows but nobody writes down?"
After each layer, write the entries to work.local.md and confirm.
Deliver this orientation:
Your Agentic Office uses two plugins working together:
OFFICIAL PRODUCTIVITY PLUGIN (Anthropic)
/productivity:start — Initialise TASKS.md + CLAUDE.md + dashboard
/productivity:update — Sync from external tools, triage stale items
Provides: Basic task CRUD, two-tier memory, visual dashboard
AGENTIC OFFICE PLUGIN (Panaversity)
9 professional intelligence skills:
workplace-context — Four-layer workplace memory (work.local.md)
workplace-search — Cross-context search across all memory layers
task-intelligence — Brain dump capture, P1/P2/P3 prioritisation
delegation — Delegation quality standard + handoff comms
digest — Daily morning briefing assembly
meeting-intelligence — Three-phase meeting model (before/during/after)
progress-tracker — RAG status, milestones, blocker classification
context-loader — Cross-domain context injection
executive-brief — Situation briefs (pre-meeting, decision, person)
4 persistent agents:
chief-of-staff — Orchestration: digest delivery, threshold alerts
memory-keeper — work.local.md maintenance, trigger-based updates
meeting-intelligence-agent — Calendar-triggered prep and post-meeting synthesis
work-tracker — Delegation lifecycle, overdue protocol
The official plugin handles task and memory CRUD.
The agentic office adds professional intelligence on top.
Try: "Give me my daily digest" or "Brain dump my priorities"Ask: "Do you have any domain agents deployed from other chapters (finance, sales, HR, operations, supply chain)? I can configure the agent integration section so your digest and dashboard pull from those domain agents too."
If yes: update the `agent_integrations` section of work.local.md with the appropriate feeds.
Run a quick test: generate a brief digest using the data just entered. If the output feels generic, prompt the user to add more specificity to terminology and unwritten_rules sections.
two-plugin architecture before using any skills
whether domain agents are deployed
🚀 Marketplace of domain-specific plugins for building enterprise AI agents. Enable AI agents to perform finance, banking, legal, and sales workflows using modular domain plugins.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from…
Activate for: load context, inject context, cross-domain context, context for this endeavour, relevant background, multi-domain…
Activate for: delegate, delegation record, handoff, delegation brief, follow-up, delegation quality, assign to, hand off to,…
Activate for: daily digest, morning briefing, what's happening today, start of day brief, week ahead, Monday brief, weekly…
Activate for: situation brief, bring me up to speed, prep me for, pre-meeting brief, decision brief, context brief, catch me up,…
Activate for: meeting prep, meeting synthesis, before the meeting, after the meeting, D/A/F/Q/R, meeting brief, stakeholder prep,…
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also covers…
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling…