Agent skills for ChatGPT

Knowledge base for measuring, analyzing, and optimizing content performance.

Analyze top-performing posts across three performance lenses — engagement, impressions, and engagement rate — to identify content patterns…

Project directory path (default current directory)

Advanced content and topic research skill that analyzes trends across Google Analytics, Google Trends, Substack, Medium, Reddit, LinkedIn…

Step-by-step recipes for demo videos. Use when creating skill demos, agent showcases, plugin installs, or tutorial walkthroughs with…

Context agent for continuity between sessions.

Progressive disclosure architecture for organizing project context as a DAG (directed acyclic graph).

Use when conversation context is too long, hitting token limits, or responses are degrading.

This skill SHOULD be used for structured extraction or batch queries against JSON (use jq), YAML (use yq), or Markdown (use mq), and for…

Use when designing agent system prompts, optimizing RAG retrieval, or when context is too expensive or slow.

Show how much context window context-mode saved this session.

Generate a compact first-pass repository briefing with context-pack.

Show current context status and session health.

Fetches current, version-specific library documentation and code examples through the Context7 MCP server.

Add or evolve ContextOS runtime contracts across TypeScript types, JSON Schemas, canonical examples, documentation, and drift tests.

Audit a ContextOS proof-carrying run using RunContext, CompiledContext, ToolEnvelope, DecisionRecord, trace, scorecard, and ReplayPacket…

Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into…

Validates and normalizes heterogeneous CSV and XLSX tables against explicit data contracts with deterministic mapping and quality gates.

Review contracts against your organization's negotiation playbook, flagging deviations and generating redline suggestions.

Analyzes contractor engagements against standard classification factors to assess operational exposure and evaluate remediation options.