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Found 25 Skills
Archive deployment records with merged common+environment config context (including remote port) for Makefile-first deployment workflow.
Use when building, testing, linting, or running Go code in projects that have a Makefile. Prefer make targets over calling go commands directly.
This skill should be used when users want to create, convert, or manage Justfiles for command automation. It handles converting Makefile, npm scripts, or shell commands to Justfile format, generating project-specific templates, and providing Justfile syntax guidance. Triggers on requests mentioning justfile, just command, command runner, Makefile conversion, or task automation.
Run post-deployment smoke checks with Makefile targets (`remote-status`, `remote-logs`) plus optional health URL checks. Use after deployment to verify runtime state before final acceptance.
GNU Make skill for C/C++ build systems. Use when writing or debugging Makefiles, understanding pattern rules and automatic dependency generation, managing CFLAGS/LDFLAGS, converting ad-hoc compile commands into maintainable Makefiles, or diagnosing incremental build issues. Activates on queries about Makefiles, make targets, pattern rules, phony targets, dependency tracking, recursive make, or make errors.
Lint Docker Compose files for Makefile-first deployment environments using .deploy.env.common + .deploy.env.<ENV_MODE>. Use when validating local/test/prod/custom compose files for image/build declaration, restart, healthcheck, logging, and external network settings.
PostHog developer CLI and repo tooling reference. Use when the user mentions hogli, asks about repo CLI tools, bin scripts, Makefiles, how to run/build/test/lint, or any dev environment commands.
Detects ESLint configuration and available commands in a repository. Returns structured JSON output designed for consumption by the quality-gates-linter agent. Checks for ESLint config files, extracts lint commands from package.json, Makefile, and CLAUDE.md, and provides command sources for the agent to read directly.
Guidance for building Caffe from source and training CIFAR-10 models. This skill applies when tasks involve compiling Caffe deep learning framework, configuring Makefile.config, preparing CIFAR-10 dataset, or training CNN models with Caffe solvers. Use for legacy ML framework installation, LMDB dataset preparation, and CPU-only deep learning training tasks.
Use just for command running and task automation. Prefer Justfiles over Makefiles. Keep recipes simple - delegate complex logic to scripts rather than embedding in recipes.
Enforces a 'Document-then-Execute' workflow. Use when an agent needs to run shell commands, execute tests, build projects, or perform any task that should favor established task runners (Makefile, npm run) and be logged to .cmds-by-agents/ for auditability.
Validate deployment configuration from .deploy.env.common and .deploy.env.<ENV_MODE> for config-dependent stages. Use before make-based deploy actions to catch missing variables, invalid ports, or compose issues.