cli-anything-dify-workflow
Wrapper for the Dify workflow DSL CLI. Create, inspect, validate, edit, and export Dify workflow files through a CLI-Anything harness.
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
Wrapper for the Dify workflow DSL CLI. Create, inspect, validate, edit, and export Dify workflow files through a CLI-Anything harness.
Use when the user wants Codex to build, refine, test, validate, or list CLI-Anything harnesses for GUI applications or source repositories. Adapts the full CLI-Anything methodology to Codex without changing the generated Python harness format.
Use when the user wants Hermes Agent to build, refine, test, or validate a CLI-Anything harness for a GUI application or source repository. Adapts the CLI-Anything methodology to Hermes without changing the generated Python harness format.
Compare two revisions of the Logseq logseq-review-workflow skill by running the same review prompt against isolated before and after skill snapshots, collecting both outputs, and producing a structured delta. Use when evaluating whether changes to .agents/skills/logseq-review-workflow improved review quality, coverage, validation rigor, subagent orchestration, or false-positive rate.
Optimizes AI agent performance by pruning redundant context, managing token usage, and enforcing ultra-concise, direct-to-value responses.
Install, update, trust, or inspect DeepSeek skills from GitHub or local skill folders. Use when the user asks for available skills or wants a community skill installed.
Design, build, configure, or debug Model Context Protocol servers for codewhale, including stdio and HTTP/SSE transports.
Use when managing, triaging, restarting, escalating, or summarizing CodeWhale Agent Fleet runs and workers.
Use when working with deepseek-v4-pro or deepseek-v4-flash in thinking mode on multi-step or plan-driven tasks. Provides rules to prevent stale references, unverified plan assumptions, and vague plan output.
Triage failing @novu/agent-evals scenarios to decide whether a failure is real or flaky, and whether to fix the playbook/prompt or the test (grader, tape, scenario, or judge). Use when an agent-evals scenario fails, when the user asks why an eval is red, or when deciding whether to fix the test or the prompt.