packages/skills-catalog/skills/(development)/confluence-assistant/SKILL.md
Expert in Confluence operations using Atlassian MCP. Use when the user says "search Confluence", "create a Confluence page", "update a page", "find documentation in Confluence", "list spaces", or "add a comment to a page". Do NOT use for Jira issues, general web search, or local file creation.
npx skillsauth add tech-leads-club/agent-skills confluence-assistantInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
You are an expert in using Atlassian MCP tools to interact with Confluence.
Use this skill when the user asks to:
Project Detection Strategy (Automatic):
When you activate this skill:
https://example.atlassian.net/)"Cloud ID format:
https://example.atlassian.net/)getAccessibleAtlassianResourcesUse search (Rovo Search) first - it's the most efficient way:
search("natural language query about the content")
Depending on what you have:
fetch(ari)getConfluencePage(cloudId, pageId)getConfluenceSpaces(cloudId, keys=["SPACE_KEY"])getPagesInConfluenceSpace(cloudId, spaceId)createConfluencePage(
cloudId,
spaceId="123456",
title="Page Title",
body="# Markdown Content\n\n## Section\nContent here..."
)
Always use Markdown in the body field — never HTML.
updateConfluencePage(
cloudId,
pageId="123456",
title="Updated Title",
body="# Updated Markdown Content\n\n..."
)
Always use Markdown in the body field — never HTML.
body fieldsearch first before other lookup methodsari:cloud:confluence:site-id:page/page-idUser: "Find the API documentation page and add a new section"
1. search("API documentation")
2. getConfluencePage(cloudId, pageId="found-id")
3. updateConfluencePage(
cloudId,
pageId="found-id",
title="API Documentation",
body="# API Documentation\n\n## Existing Content\n...\n\n## New Section\nNew content here..."
)
User: "Create a new architecture decision record"
1. getConfluenceSpaces(cloudId, keys=["TECH"])
2. createConfluencePage(
cloudId,
spaceId="space-id-from-step-1",
title="ADR-001: Use Microservices Architecture",
body="# ADR-001: Use Microservices Architecture\n\n## Status\nAccepted\n\n## Context\n...\n\n## Decision\n...\n\n## Consequences\n..."
)
User: "What's in our onboarding documentation?"
1. search("onboarding documentation")
2. getConfluencePage(cloudId, pageId="id-from-results")
3. Summarize the content for the user
When creating or updating pages, use well-structured Markdown:
# Main Title
## Introduction
Brief overview of the topic.
## Sections
Organize content logically with:
- Clear headings (##, ###)
- Bullet points for lists
- Code blocks for examples
- Tables when appropriate
## Key Points
- Point 1
- Point 2
- Point 3
## Next Steps
1. Step 1
2. Step 2
3. Step 3
bodytools
Feature planning and implementation with 4 adaptive phases (Specify, Design, Tasks, Execute). Auto-sizes depth by complexity. Writes testable requirements in EARS notation, atomic tasks, atomic Conventional Commits, and requirement traceability. Ships deterministic Python validation scripts so structural gates are enforced by code, not memory. Features an independent Verifier (author != verifier, evidence-or-zero), a discrimination sensor, a decision log (STATE.md), a test-coverage matrix, and a self-improving lessons layer. Stack-agnostic and tool-agnostic. Use when (1) planning features, (2) implementing with verification and atomic commits, (3) validating an implementation against a spec. Triggers on "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "record decision", "pause work", "resume work". Do NOT use for pure architecture decomposition analysis or standalone technical design documents.
tools
Autonomous senior-operator mode for AI agents that resolve tasks end to end without babysitting and never create new problems. The agent verifies every claim against real evidence (web search dated to the current month and year, the codebase, and available tools, MCPs, and CLIs); it never guesses, never fakes confidence, and never claims something is done without proof. It stays silent and keeps working, interrupting the user only on three stops, namely a destructive or irreversible action, a dead-end with no evidence after exhausting sources, or genuine ambiguity that changes the outcome. Output is short, literal, and human. Use when the user says "not-your-babysitter", "nanny mode", "work autonomously", "stop babysitting", or "no hand-holding", or wants an agent that solves problems on its own, especially hands-on engineering and operational tasks. Do not use when the user explicitly wants a tutorial, a verbose walkthrough, or open-ended brainstorming.
development
Use when a question, decision, plan, tradeoff, or claim needs a rigorous verdict and one perspective is not enough. Spawns a panel of 3 to 5 subagent jurors that form independent blind opinions, deliberate anonymously under an anti-anchoring and anti-sycophancy protocol, and return one committed verdict with confidence, preserved dissent, and a concrete next action. Domain-agnostic across engineering, architecture, data, product, hiring, strategy, vendor choice, build-vs-buy, and research design. Trigger phrases include "convene a jury", "have agents debate and decide", "get a panel to decide", "multi-agent decision", "stress-test this and decide", "monte um juri", "tribunal de agentes", "painel para decidir". Do NOT use to only critique without deciding (use the-fool for that), to build a plan or write the solution itself, or for simple factual lookups.
development
Guides design and implementation of evolutionary modular-monolith platforms with DDD (strategic + tactical), flat-by-aggregate organization, an Anti-Corruption Layer for vendor independence, a transactional outbox for events, smart resilience (backoff with jitter, circuit breakers, idempotency), and a polished architecture HTML document with elegant SVG diagrams. Use when designing a platform or backend, defining bounded contexts, organizing modules and folders, choosing monolith vs microservices, decoupling from an external service (ERP, storage, AI), making calls resilient, adding real-time push, picking a 2026 TypeScript stack (Nx, NestJS, React), or producing an architecture document or diagram. Also triggers on 'modular monolith', 'bounded contexts', 'flat-by-aggregate', 'ports and adapters', 'architecture diagram'. Do NOT use for simple CRUD, NestJS-only deep implementation (use nestjs-modular-monolith), or pure domain-model review (use tactical-ddd).