agent-loop-ext
Crash-resilient external agent loop with state persistence and CI/CD integration
Regenerate Codex context file (CODEX.md or ~/.codex/instructions.md) with AIWG framework content
$ npx -y skills add jmagly/aiwg --skill aiwg-regenerate-codex --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/aiwg-regenerate-codexContext preview
The summary Claude sees to decide when to auto-load this skill.
Regenerate Codex context file (CODEX.md or ~/.codex/instructions.md) with AIWG framework content
namespace: aiwg name: aiwg-regenerate-codex platforms: [all] description: Regenerate Codex context file (CODEX.md or ~/.codex/instructions.md) with AIWG framework content commandHint: argumentHint: "[--no-backup] [--dry-run] [--user-level] [--migrate]" allowedTools: Read, Write, Edit, Bash, Glob model: sonnet category: context-regeneration modelRole: coding modelTier: standard
Regenerate the Codex context file (`CODEX.md` or `~/.codex/instructions.md`) for OpenAI Codex integration. Performs an **intelligent merge** — preserving team-written content while updating AIWG context.
**Team content is preserved. AIWG content is updated. Full injection used (Codex does not support @-link directives).**
Codex context files do not support `@filename` style includes. AIWG content is embedded directly using injection markers:
<!-- BEGIN AIWG --> [AIWG content] <!-- END AIWG -->
This is different from other providers that use the hook file approach.
| Flag | Description | |------|-------------| | `--no-backup` | Skip creating backup file | | `--dry-run` | Preview changes without writing | | `--user-level` | Update `~/.codex/instructions.md` instead of project-level `CODEX.md` | | `--migrate` | Extract injection to `AIWG-codex.md` and reference from CODEX.md (future-proofing) |
| Scope | Path | Use case | |-------|------|----------| | Project-level | `CODEX.md` | Project-specific AIWG context | | User-level | `~/.codex/instructions.md` | User-wide context across all projects |
Default: project-level `CODEX.md`. Use `--user-level` for user-wide context.
Unless `--no-backup` specified, create `CODEX.md.backup-{YYYYMMDD-HHMMSS}`.
Read `CODEX.md` if it exists and categorize:
Generate AIWG content from installed framework manifests. Same content as other providers' hook files, but embedded inline.
Also write `AIWG-codex.md` as a side file for reference and for potential future migration if Codex adds @-link support.
**If AIWG markers found**: Replace content between markers with freshly generated content.
**If no markers found**: Append AIWG block to end of file (before `<!-- TEAM DIRECTIVES -->` marker if present).
[team content preserved above] <!-- BEGIN AIWG --> <!-- Managed by aiwg — regenerate with: aiwg-regenerate-codex --> [AIWG content] <!-- END AIWG --> <!-- TEAM DIRECTIVES: Add project-specific guidance below -->
Codex Context Regenerated
==========================
Backup: CODEX.md.backup-20260322-190000
AIWG content: 312 lines (injected between markers)
Side file: AIWG-codex.md (312 lines, written for reference)
Team content preserved: 22 lines
Note: Codex does not support @-link directives.
Content embedded directly with <!-- BEGIN/END AIWG --> markers.
To update: aiwg-regenerate-codex# Default (project-level CODEX.md) /aiwg-regenerate-codex # Update user-level instructions /aiwg-regenerate-codex --user-level # Preview without writing /aiwg-regenerate-codex --dry-run # Skip backup /aiwg-regenerate-codex --no-backup
| Command | Regenerates | |---------|-------------| | `/aiwg-regenerate` | Auto-detect and delegate | | `/hook-status` | Check hook state (shows "full inject" for Codex) | | `/hook-regenerate --provider codex` | Rebuild AIWG-codex.md side file |
Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.
Repo: jmagly/aiwg
Crash-resilient external agent loop with state persistence and CI/CD integration
Detect requests for iterative autonomous agent loops and route to the appropriate loop executor
Automatically execute tests when code-generating agents modify source files, enforcing the execute-before-return pattern
Enable agent loops to learn from similar past tasks and share patterns across loops
Query and manage the executable feedback debug memory
Execute tests on generated code and iterate until passing