L’interface est localisée ; les présentations et documents des Skills sont traduits automatiquement par IA dans votre langue. Le code, les commandes, chemins et termes techniques restent en version originale, et le document de l’auteur fait foi.
Explorer les Skills
Développement · SKILL.md

agent-integration

agent-integration

Install Graphify assistant skills, always-on guidance, and hooks safely across supported agent platforms.

Independent GitHub snapshot · Automated classification · Original documentation governs

Documentation de la Skill

GitHub

name: agent-integration description: "Install Graphify assistant skills, always-on guidance, and hooks safely across supported agent platforms." metadata: disco-role: operating disable-model-invocation: true license: NOASSERTION

agent-integration

Use this sub-skill when the user wants to install, inspect, repair, uninstall, or package Graphify's assistant integration layer: packaged SKILL.md files, references/ sidecars, always-on project guidance, PreToolUse/BeforeTool hooks, Git hooks, strict mode, and user-vs-project scope decisions.

Start from the graphify root router when the complete runtime tree includes one and the request may involve non-install workflows too.

Route here for

  • graphify install, graphify uninstall, graphify <platform> install, or graphify <platform> uninstall.
  • Choosing a supported assistant platform, including aliases such as --platform skills for agents.
  • Deciding user scope versus project scope, and interpreting project-scoped git add hints.
  • Installing, inspecting, or removing graphify hook install/status/uninstall and assistant PreToolUse/BeforeTool hooks.
  • Claude strict mode and the GRAPHIFY_HOOK_STRICT runtime override.
  • Troubleshooting graphify not found, wrong PyPI package name, stale installed skill versions, missing references/ sidecars, Codex's no-op hook, or platform-specific install artifacts.
  • Maintainer-only questions about how Graphify renders and packages its platform skill bodies.

Route elsewhere

  • Building, updating, watching, or validating graphify-out/ graphs: use graph-building.
  • Querying an existing graph with query, path, explain, MCP serving, or query-first answer behavior: use query-navigation.
  • Export, merge, database, PR, or visualization workflows: use exports-integrations.
  • File-format/parser/extractor failures after install succeeds: use extractor-troubleshooting.

Safety defaults

  1. Do not mutate a real HOME or project config unless the user explicitly asked for that install/uninstall scope. For exploration, use the bundled temp probe from the graphify repo-skill root: python sub-skills/agent-integration/scripts/install_platform_probe.py --platform codex --scope project.
  2. Distinguish the package name from the command. Install the official PyPI package as graphifyy; the CLI and import package are graphify.
  3. Prefer project scope for team-visible assistant guidance. graphify install --project --platform <platform> writes artifacts under the current repository when that platform supports project install and prints git add hints.
  4. Use user scope only for personal assistant skills. graphify install --platform <platform> writes under the user's assistant config tree; ask before doing this in a real HOME.
  5. Treat skill-only installs and always-on guidance as related but not identical. Some graphify install --platform ... commands copy only a skill body, while platform subcommands such as graphify codex install wire project instructions or hooks.

Operating workflow

  1. Confirm target and scope. Identify the assistant platform, user/project scope, whether the user wants skill-only install or always-on guidance, and whether uninstall should also purge graphify-out/.
  2. Verify CLI availability. Run graphify --help or python -m graphify --help. If missing, use troubleshooting before attempting install.
  3. Probe safely when uncertain. Run install_platform_probe.py with a temporary HOME/project and inspect the summarized files.
  4. Install with the smallest correct command. Use platforms.md to choose the platform command and expected artifacts.
  5. Inspect hooks and always-on files. Use always-on-and-hooks.md for hook/strict behavior and graphify hook status for Git hooks.
  6. Repair or uninstall precisely. Use platform-specific uninstall or graphify uninstall --project --platform <platform> for project scope; use graphify uninstall --purge only when the user also wants graph outputs removed.
  7. For maintainer packaging work only, load platform-skill-packaging.md.

Quick command patterns

# Recommended package install when Graphify is missing.
uv tool install graphifyy

# Skill-only default: Claude Code on Linux/macOS, Windows variant on Windows.
graphify install

# Named user-scope skill install. Ask before using a real HOME.
graphify install --platform codex

# Project-scoped install with commit hints.
graphify install --project --platform codex

# Platform always-on guidance in the current project.
graphify codex install
graphify claude install

# Claude Code project strict mode.
graphify install --project --strict

# Project Git hooks that keep graphify-out fresh after commits/branch switches.
graphify hook install
graphify hook status
graphify hook uninstall

# Remove assistant integrations; add --purge only to delete graphify-out/.
graphify uninstall
graphify uninstall --project --platform codex
graphify uninstall --purge

Verification cues

A healthy progressive platform install has SKILL.md, .graphify_version, and usually a references/ sidecar in the platform's graphify skill directory. Always-on platforms additionally have a project instruction file such as AGENTS.md, CLAUDE.md, GEMINI.md, .cursor/rules/graphify.mdc, .github/copilot-instructions.md, .kiro/steering/graphify.md, or .agents/rules/graphify.md. Hook-enabled platforms have JSON settings, native plugin files, or Git hook files as described in the references.

Skills enregistrées