AI Agent Skills

Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

Research recent cross-source changes across Reddit, X, YouTube, Hacker News, and the web.

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for JWT, JWS, and JWE validation paths, header parsing, key selection, claim acceptance, aud…

Open football event data for match analysis, xG research, scouting, and World Cup-style dashboards.

Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\…

Create a detailed, phased implementation plan with documentation discovery. Use when asked to plan a feature, task, or multi-step implementation — especially before exec…

Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated…

This skill should be used when scientists need help with research problem selection, project ideation, troubleshooting stuck projects, or strategic scientific decisions.…

Use when an n8n-mcp account targets more than one n8n instance — i.e. the `n8n_instances` tool is available, the user mentions multiple n8n instances or environments (pr…

Deep research skill for AI agents: live web research, source reputation checks, safer URL fetches, and structured evidence feedback.