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Found 45 Skills
Validate Salesforce metadata before deploying. TRIGGER when the user asks to validate a deploy, do a dry-run, check before deploying, or targets a Production org for any deploy operation. Routes prod targets to `sf project deploy validate` (returns a 10-day quick-deploy job ID) and sandbox/scratch targets to `sf project deploy start --dry-run`. DO NOT TRIGGER for actual deploys (use platform-metadata-deploy) or destructive changes (use platform-destructive-deploy).
Fleet orchestration for distributed coding agents across Azure VMs. Invoked as `/fleet <command>`. Covers all fleet operations: status, scout, advance, adopt, watch, snapshot, dry-run, start, add-task, queue, auth, dashboard, tui, and more. Use when: user mentions fleet, agents, VMs, sessions, or asks "what are my agents doing".
Use this skill whenever designing, building, or reviewing a command-line tool that AI agents or automation will invoke — covers non-interactive flags, layered --help with examples, stdin/pipeline composition, actionable errors, idempotency, dry-run, destructive-action safety, and predictable command structure. Trigger even if the user doesn't explicitly say "agent-friendly" — apply whenever they are writing `--help` text, adding a new subcommand, designing error messages, or reviewing a CLI's UX.
Interactively prune stale non-terminal workflows from the pipeline. Use when the user says 'prune workflows', 'clean stale workflows', 'pipeline cleanup', or runs /prune. Runs a dry-run preview, displays candidates with staleness and safeguard skips, prompts the user to proceed/abort/force, then bulk-cancels approved workflows with a workflow.pruned audit event. Safeguards skip workflows with open PRs or recent commits unless force is set.
Generate, inspect, dry-run, and statically validate plain FDM `.gcode` from 3D mesh files by orchestrating real slicer CLIs. Use when Codex needs to slice `.stl`, `.obj`, unsliced `.3mf`, `.ply`, `.glb`, or `.gltf` into printer-profiled G-code, discover local slicer backends, inspect whether a mesh is slice-ready, or validate generated G-code before any printer-specific handoff.
Scan the host repo a set of agent skills is installed into and reconcile every installed skill's config.json with detected facts — base branch, monorepo package roots, changelog directory, Linear issue-key prefixes, review bots, protected branches — plus the Linear team name and workspace slug fetched via the Linear MCP. Use when first installing these skills into a repo, or to refresh the configs after the skill set or repo layout changes. Also emits a committed `.claude/skills.lock` inventory of installed skill versions, and ensures the preflight skill's `.preflight-summary.json` scratch output is gitignored. Idempotent and safe to re-run: it reconciles drift rather than clobbering deliberate manual edits, presents a dry-run diff first, and only writes after confirmation — preserving each config's key order and formatting so a no-op run leaves files byte-identical.
Generate headless Claude Code cron jobs from a task description and schedule. Creates a wrapper script with safety mechanisms (lockfile, budget cap, dry-run default, logging) and installs crontab entries via deterministic Python script. Use when user says "schedule", "run every", "cron job", "run twice daily", "run hourly", "run daily", "run weekly", or "schedule task".
Investigate LLM analytics evaluations of both types — `hog` (deterministic code-based) and `llm_judge` (LLM-prompt-based). Find existing evaluations, inspect their configuration, run them against specific generations, query individual pass/fail results, and generate AI-powered summaries of patterns across many runs. Use when the user asks to debug why an evaluation is failing, surface common failure modes, compare results across filters, dry-run a Hog evaluator, prototype a new LLM-judge prompt, or manage the evaluation lifecycle (create, update, enable/disable, delete).
openerp (Kingdee Cloud·Star ERP CLI) Shared Base: Profile credential configuration, LoginBySign authentication and session reuse, general query (ExecuteBillQuery), output envelope and exit codes, dry-run. Must-read before using openerp for the first time, configuring profile, or troubleshooting authentication/query issues.
Execute, validate, and debug Midscene YAML automation files. Handles dry-run, execution, report analysis, and iterative debugging.
Use when syncing or updating previously installed skills to their latest version. Always dry-run updates before applying, and check for breaking changes.
Monitor Catchtable for open reservation slots and attempt booking using a logged-in Chrome session.