Gemini CLI delegation workflow implementing delegation-core for Google's Gemini models. Use when delegation-core selected Gemini, need Gemini's 1M+ token context window, batch processing required. Do not use when deciding which model to use (use delegation-core first), gemini CLI not installed.
Executes Gemini CLI commands using its 1M+ token context for batch processing tasks.
/plugin marketplace add athola/claude-night-market/plugin install conjure@claude-night-marketThis skill inherits all available tools. When active, it can use any tool Claude has access to.
modules/gemini-specifics.mdThis skill implements conjure:delegation-core for the Gemini CLI. It provides Gemini-specific authentication, quota management, and command construction using shared patterns.
Skill(conjure:delegation-core) determines Gemini is suitablegemini CLI is installed and authenticatedInstallation:
# Verify installation
gemini --version
# Check authentication
gemini auth status
# Login if needed
gemini auth login
# Or set API key
export GEMINI_API_KEY="your-key"
Verification: Run the command with --help flag to verify availability.
Implements standard delegation-core flow with Gemini specifics:
gemini-delegation:auth-verified - Verify Gemini authenticationgemini-delegation:quota-checked - Check Gemini API quotagemini-delegation:command-executed - Execute via Gemini CLIgemini-delegation:usage-logged - Log Gemini API usage# File analysis
gemini -p "@path/to/file Analyze this code"
# Multiple files
gemini -p "@src/**/*.py Summarize these files"
# With specific model
gemini --model gemini-2.5-pro-exp -p "..."
# JSON output
gemini --output-format json -p "..."
Verification: Run the command with --help flag to verify availability.
gemini -p "..." > delegations/gemini/$(date +%Y%m%d_%H%M%S).md
Verification: Run the command with --help flag to verify availability.
This skill uses shared modules from delegation-core:
delegation-core/../../leyline/skills/authentication-patterns/SKILL.mddelegation-core/../../leyline/skills/quota-management/SKILL.mddelegation-core/../../leyline/skills/usage-logging/SKILL.mddelegation-core/../../leyline/skills/error-patterns/SKILL.mdFor Gemini-specific models, CLI options, cost reference, and troubleshooting, see modules/gemini-specifics.md.
Expert guidance for Next.js Cache Components and Partial Prerendering (PPR). **PROACTIVE ACTIVATION**: Use this skill automatically when working in Next.js projects that have `cacheComponents: true` in their next.config.ts/next.config.js. When this config is detected, proactively apply Cache Components patterns and best practices to all React Server Component implementations. **DETECTION**: At the start of a session in a Next.js project, check for `cacheComponents: true` in next.config. If enabled, this skill's patterns should guide all component authoring, data fetching, and caching decisions. **USE CASES**: Implementing 'use cache' directive, configuring cache lifetimes with cacheLife(), tagging cached data with cacheTag(), invalidating caches with updateTag()/revalidateTag(), optimizing static vs dynamic content boundaries, debugging cache issues, and reviewing Cache Component implementations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.