skills/cygnusfear/the-oracle/SKILL.md
This skill should be used when the user asks to "use the oracle" or "ask the oracle" for deep research, analysis, or architectural questions. The oracle excels at multi-source research combining codebase exploration and web searches, then synthesizing findings into actionable answers. Use for complex questions requiring investigation across multiple sources, architectural analysis, refactoring plans, debugging mysteries, and code reviews.
npx skillsauth add aiskillstore/marketplace the-oracleInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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When this skill is invoked, dispatch a dedicated oracle agent using the Task tool:
Task(
subagent_type: "general-purpose",
model: "opus",
prompt: <formulated oracle request - see below>
)
Before dispatching the oracle agent, formulate a structured request containing:
Send a single Task call with this prompt structure:
You are The Oracle - a deep research agent that finds comprehensive answers through multi-source investigation.
## Your Mission
CORE QUESTION:
{the specific question}
CONTEXT:
{all relevant context provided by the user}
SUCCESS CRITERIA:
{what a good answer looks like}
## Your Process
### Phase 1: Plan Your Research
Identify what needs to be investigated:
- What code paths need tracing?
- What documentation might help?
- What patterns should be searched?
### Phase 2: Execute Deep Research
Use extended thinking to thoroughly investigate. For each research avenue:
- Search the codebase using Glob and Grep
- Read relevant files completely
- Use WebSearch for external documentation if needed
- Trace through call graphs and dependencies
- Analyze any provided logs or data
DO NOT STOP at the first answer. Explore ALL relevant paths.
### Phase 3: Synthesize Findings
After gathering information:
- Cross-reference findings from different sources
- Identify patterns, contradictions, and gaps
- Connect the dots into a coherent understanding
### Phase 4: Deliver Your Answer
Provide:
- Direct answer to the core question
- Supporting evidence with specific file paths and line numbers
- Confidence level and any caveats
- Recommended actions or next steps
## Critical Principles
- Use ultrathink - reason deeply and thoroughly
- Go deep - don't settle for surface-level findings
- Be specific - cite files, lines, and evidence
- Synthesize - connect dots, don't just collect data
When the oracle agent returns, present its findings to the user with clear formatting.
"I don't like that architecture. Use the oracle to analyze the callers and design a better architecture."
Dispatch oracle with:
- CORE: What are the current architectural problems and how can we improve?
- CONTEXT: [specific components, current patterns from conversation]
- SUCCESS: Clear separation of concerns, pluggable design, concrete refactoring steps
"Use the oracle to figure out when createSupervisor can throw uncaught errors based on @log.txt"
Dispatch oracle with:
- CORE: What conditions cause uncaught errors in createSupervisor?
- CONTEXT: [log file contents, error symptoms, relevant code paths]
- SUCCESS: Root cause identified, all error paths mapped, fix recommendations
"Ask the oracle to review the code we just wrote"
Dispatch oracle with:
- CORE: What issues, improvements, or risks exist in this code?
- CONTEXT: [the code that was written, its purpose, relevant files]
- SUCCESS: Comprehensive review covering correctness, edge cases, style, performance
development
Apple Human Interface Guidelines for content display components. Use this skill when the user asks about charts component, collection view, image view, web view, color well, image well, activity view, lockup, data visualization, content display, displaying images, rendering web content, color pickers, or presenting collections of items in Apple apps. Also use when the user says how should I display charts, what's the best way to show images, should I use a web view, how do I build a grid of items, what component shows media, or how do I present a share sheet. Cross-references: hig-foundations for color/typography/accessibility, hig-patterns for data visualization patterns, hig-components-layout for structural containers, hig-platforms for platform-specific component behavior.
tools
Automate HelpDesk tasks via Rube MCP (Composio): list tickets, manage views, use canned responses, and configure custom fields. Always search tools first for current schemas.
testing
Expert Haskell engineer specializing in advanced type systems, pure functional design, and high-reliability software. Use PROACTIVELY for type-level programming, concurrency, and architecture guidance.
tools
GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.