Documentation plugins

Documentation generation, API docs (JSDoc/TSDoc/OpenAPI), and drift detection — drives the `document` background worker via hooks_worker-dispatch; uses Haiku model for cost-efficient docs work

Comprehensive documentation generation and maintenance

Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation

Documentation generation, code explanation, and technical writing with automated doc generation and tutorial creation

OpenAPI specification generation, Mermaid diagram creation, tutorial writing, API reference documentation

HR policy documentation, legal compliance templates (GDPR/SOC2/HIPAA), employment contracts, and regulatory documentation

SOC2, HIPAA, and GDPR compliance validation, secrets scanning, compliance checklists, and regulatory documentation

HADS (Human-AI Document Standard) — semantic tagging convention for writing documentation that works efficiently for both human readers and AI models. Reduces token consumption and hallucination risk by separating machine-critical facts from human context.

Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.

Persistent file-based planning for AI coding agents. Crash-proof markdown plans (task_plan.md, findings.md, progress.md) that survive context loss and /clear, with an opt-in completion gate and multi-agent shared state. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard. Includes Arabic, German, Spanish, and Chinese (Simplified and Traditional).

6 BizOps skills + 1 orchestrator: process-mapper (BPMN + bottleneck + cycle-time), vendor-management (SLA + risk + scorecard), capacity-planner (Erlang-C queueing math for ops teams), internal-comms (ADKAR + Kotter 8-step change comms), knowledge-ops (SOP + runbook authoring with 5W2H validation, context: fork), procurement-optimizer (UNSPSC-aligned spend categorization + supplier consolidation). Orchestrator skill uses context: fork to route inquiries to the right sub-skill via Matt Pocock grill discipline. 18 stdlib-only Python tools, 24+ reference docs each citing ≥7 authoritative sources, asset templates per skill. Distinct from business-growth (external sales) and c-level-advisor (strategic).

EU AI Act (Regulation (EU) 2024/1689) operational compliance specialist for compliance teams. Three deterministic tools: AI system risk classifier (Article 5 prohibited / Article 6 + Annex III high-risk / Article 50 limited-risk / minimal-risk per the binding regulation), conformity assessment planner (Article 43 Module A vs Module H + notified-body routing + Annex IV technical documentation checklist), obligation tracker (provider/deployer/importer/distributor obligations matrix per Title III Chapter 3 + GPAI obligations per Articles 51-55). 4 in-depth references: Titles I-XII Article-by-Article walkthrough, Annex III 8 high-risk categories with Article 6(2) carve-outs, GPAI obligations including systemic-risk threshold, cross-framework mapping to ISO 42001 + NIST AI RMF + GDPR. Stdlib-only. Built for compliance officers executing Article-level conformity work — not for executive AI strategy (see chief-ai-officer-advisor for that).

Google Workspace administration via the gws CLI (github.com/googleworkspace/cli, install: npm i -g @googleworkspace/cli). Authenticate and automate Gmail, Drive, Sheets, Calendar, Docs, Chat, and Tasks. 5 Python tools, 3 reference guides, a local catalog of 43 recipe command templates, and 10 persona bundles. Verify generated commands against gws --help.

Company Architect: builds a business from scratch as an OKF (Open Knowledge Format) bundle — a tree of version-controllable .md files with frontmatter type, links forming a graph, and reserved index.md/log.md, readable by humans and agents. Guides the founder through a 12-phase interview (foundation, strategy, market, financial, sales, marketing, product, operations, tech, people, legal, governance), one phase at a time, and generates conformant markdown concepts. 3 stdlib tools: scaffold_bundle (bundle scaffolding), okf_linter (validates type/reserved files/links), index_generator (regenerates the index.md files). Standalone-installable; also bundled in c-level-skills.

7 Commercial skills + 1 orchestrator: pricing-strategist (Van Westendorp WTP + packaging + model picker), deal-desk (margin + discount routing + redline scoring), partnerships-architect (5-tier classifier + joint GTM + revshare modeler), channel-economics (cost-to-serve + ROI + channel mix optimizer), commercial-policy (data-backed discount matrix + exception flow + policy linter), rfp-responder (Shipley-method structured RFP/RFI/RFQ response + win-theme + winrate predictor; context: fork for heavy intake), commercial-forecaster (4Q-weighted bookings + cohort NRR/GRR + funnel-confidence with mandatory assumption disclosure). Orchestrator skill uses context: fork. 21 stdlib-only Python tools, 28+ reference docs. Distinct from business-growth (sales execution), c-level-advisor/cro-advisor (strategic CRO), finance (close-and-report).

Docs-anchored grilling session — interrogates a plan against the project's existing language (CONTEXT.md) and recorded decisions (docs/adr/), updating those files inline as terminology and decisions crystallise. Derived from Matt Pocock's MIT-licensed grill-with-docs skill (https://github.com/mattpocock/skills) with: (1) 3 stdlib Python tools (CONTEXT.md linter, ADR scanner, glossary-to-code consistency check), (2) 3 reference docs each citing 7+ authoritative sources on ubiquitous language, ADR practice, and CONTEXT.md as a living artifact, (3) cs-grill-with-docs persona agent + /cs:grill-with-docs slash command. Matt's interview discipline + domain-awareness rules + ADR-when-3-criteria-are-met gate preserved verbatim per MIT.

4 Research-Operations skills + 1 orchestrator: clinical-research (study design: protocol synopsis, endpoint selection, sample-size/power, phase-gating, feasibility), research-finance (R&D program budgeting, burn/runway, F&A indirect-rate modeling, capitalize-vs-expense routing, portfolio ROI), market-research (TAM/SAM/SOM both-methods, survey/sampling design, segmentation, CI synthesis), product-research (interview/JTBD/usability/concept-test design, saturation, insight repository synthesis). Orchestrator skill uses context: fork. Each sub-skill ships per-skill onboarding (onboard.py), a customization loader (config_loader.py) consumed by every tool, and an isolated opt-in autoresearch evaluator (ar_evaluator.py) bridging to engineering/autoresearch-agent. 24 stdlib-only Python tools (12 analysis + 12 onboarding/customization/autoresearch), 12 reference docs. Distinct from ra-qm-team (regulatory/QM submission), finance (corporate close/valuation), research/grants (NIH funding discovery), product-team (persona/journey/live experiments), marketing-skill (campaign analytics).