integrating-agents

name	integrating-agents
description	Use when wiring vibe-validate into a non-Claude AI coding assistant (Cursor, Aider, Continue, or any other tool). Covers system-prompt additions, command wrappers, and output routing for agentic workflows.

integrating-agents

When to use

Setting up vibe-validate so a non-Claude AI tool — Cursor, Aider, Continue, or any other coding assistant — can run validations, read extracted errors, and iterate on fixes. This skill describes the generic integration surface and the tool-specific patterns that sit on top of it.

If you are using Claude Code, stop here. The vibe-validate Claude Code plugin is your integration — installing it loads this family of skills directly, and your daily workflow lives in vibe-validate:vv-validate-dev-loop. There is nothing to wire up separately.

Integration mental model

Any AI-assisted dev tool needs three things from a validator to be useful in an agentic loop:

1. A trigger — the agent needs to know when to invoke vv (on demand, before commit, after edits, etc.).
2. Intelligible output — the agent needs to parse what failed without being swamped by ANSI codes, test-runner banners, and compiler noise.
3. Actionable errors — the agent needs file/line/message tuples it can turn into edits.

vibe-validate supplies #2 and #3 by default. Its state and run commands emit YAML with extracted errors stripped of formatting — most modern AI tools parse YAML natively, and even those that don't can grep file:line references out of plain text. What varies across tools is #1 — how you attach the trigger — which is what this skill is about.

What every integration needs

Regardless of tool, three moving parts end up in the adopter's repo:

A config file — vibe-validate.config.yaml at the repo root defines the phases/steps. See vibe-validate:setting-up-projects for authoring this.

A way to invoke vv — either the installed CLI, npx vibe-validate, pnpm dlx vibe-validate, or bunx vibe-validate. Package-manager choice belongs to the adopter; don't hardcode it in agent instructions.

Guidance that reaches the agent — a system prompt addition, a custom command, or a rule file that tells the agent when/how to call vv. This is the piece that differs per tool.

Iteration pattern the agent should follow

Regardless of which tool hosts the agent, the same loop is what produces clean commits:

1. Make edits.
2. Run vv validate. If exit 0, done.
3. On non-zero exit, run vv state and read the YAML. Each failed step under phases[].steps[] carries an extraction.errors array of {file, line, column, message} entries.
4. Fix the top few errors (ordering by phase first, then file, keeps related fixes batched).
5. Re-run vv validate. Cache hits make iterations 2+ near-instant when only a few files changed.
6. Repeat until passing; cap at a sensible iteration count (8–10) to avoid thrash.

Teaching this loop to the host tool is what turns vv from "a linter wrapper" into a real agentic checkpoint. The richer version of this workflow — including when to force re-validation, when to consult vv history, and how to handle cache-suspicious results — lives in vibe-validate:vv-validate-dev-loop; for a non-Claude integration, distill it into whatever fits in your tool's prompt slot.

Generic patterns (tool-agnostic)

System-prompt / rules addition

Drop this (or a variant) into the tool's custom-rules / system-prompt / AGENT.md slot:

When the user asks to commit, or after you make substantive code changes, run vv validate. If it exits non-zero, run vv state to see the YAML breakdown of failed steps. For each failed step, read the extraction.errors list — each entry has file, line, and message. Fix the files, then re-run vv validate (caching makes the re-run fast). Do not commit until validation passes. If the tool supports it, vv run <command> is useful for ad-hoc test invocations because it extracts errors the same way.

This is a distilled version of what the Claude Code plugin's vv-validate-dev-loop skill covers in depth — see that skill for the extended decision tree.

Keep the snippet short. Long rules files get truncated, ignored, or bloat the agent's context. The goal is a single paragraph the model can internalize, not a spec.

Custom commands / slash-commands

Most agent tools support named shortcuts. Wire at minimum:

• validate → vv validate
• state → vv state
• pre-commit → vv pre-commit (if the adopter uses vv's pre-commit wrapper)

A fix-errors or validate-and-fix command that chains "run vv validate → read vv state → apply fixes → re-validate" is a strong accelerant when the tool allows multi-step prompts.

Output routing

The state command writes to stdout in YAML. There are three reasonable shapes for piping it back to the agent:

1. Let the agent run the command itself (Cursor, Aider, Continue) — simplest, captures stdout directly.
2. Generate a file the tool watches — some tools read workspace files into context. Redirect vv state > .vv-state.yaml and add it to the tool's context allowlist.
3. Pre-commit hook as the gate — install a git pre-commit hook that runs vv pre-commit. This works even when the agent itself cannot run shell commands, because the block happens at git commit time.

Tool-specific wiring

Cursor

Cursor exposes two useful slots: custom rules (project-level .cursorrules or equivalent) and VSCode tasks.

• Rules file — add the system-prompt snippet above.
• Tasks — define Validate and Pre-Commit tasks in .vscode/tasks.json that invoke vv validate and vv pre-commit. Bind to keyboard shortcuts in .vscode/keybindings.json if desired.
• Output — Cursor's AI panel reads terminal output; the YAML from vv state lands there directly.

Aider

Aider is terminal-native and runs shell commands freely.

• .aider.conf.yml — set auto-commits: false and add a pre-commit invocation that runs vv pre-commit. This makes Aider's commit step gate on validation.
• Chat instruction — tell Aider "run vv validate after edits; on failure, vv state tells you what to fix." Aider parses the file:line references in YAML naturally.
• Shell alias — a validate alias pointing at vv validate is the lightest-touch option if you don't want a config file.

Continue

Continue's extension point is .continue/config.json, specifically the customCommands array.

• Add a validate command whose prompt is "Run vibe-validate validate and report results. If it fails, read vibe-validate state and fix the errors."
• Add a fix-errors command that chains state-reading, edits, and re-validation.
• Continue's file-context awareness means file:line references in YAML output open the right files automatically.

Other tools (generic shell-capable)

For any tool that can run shell commands and read their stdout — Codeium, Windsurf, Zed's assistant, custom orchestration scripts — the pattern is the same: put the system-prompt snippet in front of the model, expose vv validate / vv state / vv run as commands, and let the model iterate. The YAML output is intentionally stable and parseable; no tool-specific adapter is required.

For adopters building their own orchestration (scripts, CI glue, bespoke agents), the raw contract is:

• vv validate — exit 0 = pass, non-zero = fail.
• vv state — YAML to stdout, parseable as the ValidationState schema (passed, phases, steps, extraction.errors).
• vv run <cmd> — runs the wrapped command and emits the same extraction envelope.

Wrap those three in whatever language the orchestrator speaks (Python's yaml.safe_load, Node's yaml package, Go's gopkg.in/yaml.v3, etc.).

Output format expectations

An adopter's agent can rely on this shape from vv state:

• Top-level passed boolean and summary string.
• phases[] array, each with name, passed, and a steps[] array.
• Each step has name, command, exitCode, passed, and (on failure) an extraction object with an errors array of {file, line, column, message} tuples plus a summary and totalErrors.

Agents that parse this tree can route errors by step (e.g., send type errors to one sub-prompt and lint errors to another), prioritize by phase, or simply flatten extraction.errors and iterate. All three approaches work; pick whichever fits the host tool's prompt budget.

Environment variables

vibe-validate looks at a handful of env vars adopters may want to set in their tool's shell-env slot:

• CI=true — enables non-interactive output suited for pipelines; useful when the agent cannot respond to prompts.
• CURSOR=1, AIDER=1, CONTINUE=1 — legacy hints that a particular agent host is active. These do not change the extraction format today (everything is YAML), but setting them is harmless and future-proofs the integration.

Never rely on environment detection to change agent behaviour — have the agent choose its commands explicitly based on the prompt.

Tools with limited shell access

Web-only IDEs and sandboxed assistants can't always invoke arbitrary shell commands. Two workarounds:

1. Run vv alongside, in a real terminal. Redirect vv state to a file the tool has read access to (e.g., .vv-state.yaml in the workspace). Tell the agent to read that file before proposing commits.
2. Gate at git instead of at the agent. Install a git pre-commit hook that runs vv pre-commit. The tool can attempt to commit; the hook blocks on failure regardless of whether the agent knew to validate first. This is the lowest-trust, highest-assurance option and is a good default even when other integration is in place.

Keeping the agent honest

The main failure mode across tools is the agent claiming validation passed without running it. Two mitigations:

• Require evidence in the commit flow. Tell the agent to paste the tail of vv state output (or its exit code) before proposing a commit.
• Use the pre-commit hook. Even if the agent lies, git commit will fail and surface the real state.

See also

• For exhaustive per-tool walkthroughs including full config file examples, shell aliases, and worked chat transcripts, see docs/agent-integration-guide.md at the repository root.
• vibe-validate:vv-validate-dev-loop — the daily workflow once integration is wired up; most of what you'd tell the agent to do reduces to following this loop.
• vibe-validate:setting-up-projects — authoring vibe-validate.config.yaml; this is the adopter's job regardless of which AI tool they use.
• vibe-validate:authoring-extractors — if the adopter's toolchain emits errors in a format vv doesn't already extract, they'll want a custom extractor so the YAML stays useful to the agent.