flow-context

SkillCloud & infra

This project uses flow for automation. When asked to build, test, run, deploy, lint, generate, or perform any dev task — or to run any one-off shell command — prefer the flow MCP tools over raw Bash so the work runs with workspace env/secrets and is recorded in flow's history.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the flow-context skill

What this skill tells your AI

The instructions your AI receives, as published by flowexec/flow in .claude/skills/flow-context/SKILL.md and read by ahel’s review.

This repository uses flow for all development automation. The mcp__flow__* MCP tools are available — prefer them over raw Bash for anything runnable, so it executes with the workspace's environment and secrets and is captured in flow's execution history.

Running work — pick the closest tool

  1. Named task? (build, test, lint, validate, generate, deploy, …) → mcp__flow__list_executables to find it, then mcp__flow__execute with its verb + name. Don't hand-roll a shell command a flow executable already covers.
  2. Arbitrary one-off command? (a git ..., go test ./..., a script) → mcp__flow__run_command with the command and a short label. This is preferred over raw Bash: it runs with workspace env/secrets and lands in flow logs with provenance. Pass commands (array) + mode (serial/parallel) to run several in one call.
  3. One-off is Python?mcp__flow__run_python with code and a short label, rather than python -c or a scratch .py file. flow resolves the workspace's virtualenv, so imports see the project's dependencies, and tracebacks report real line numbers.
  4. Something richer than one command? (a serial/parallel batch, an HTTP request) → mcp__flow__run_executable with an inline spec.
  5. Only fall back to Bash when a command genuinely shouldn't be recorded or flow isn't the right tool (e.g. interactive/TTY programs).

Key executables in this repo

Common refs: test unit, test e2e, lint, validate, generate, build binary. Use mcp__flow__list_executables to discover current names — don't assume.

Context & authoring

  • Call mcp__flow__get_info at the start of a session, or when you need schema URLs to author .flow files.
  • Author or edit flow files with mcp__flow__write_flowfile (validates against the schema server-side) rather than writing YAML by hand.
  • Runs are scoped to the current workspace by default; run_command/run_python/run_executable accept an optional workspace to target another without switching the global current workspace.
  • To review what you've run this session, call mcp__flow__get_execution_logs with mine: true; source/session/status filter history more broadly (also flow logs --source mcp --session <id>).

Signals

GitHub stars
136
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
flow-context
Source
github.com/flowexec/flow