converter

Converter — Cross-Platform Skill Converter

Parse AgentOps skills into a universal SkillBundle format, then convert to target agent platforms.

The intermediate SkillBundle is what keeps conversions honest: every target reads the same parsed contract, so a rendering bug is a target-adapter bug, never a silent reinterpretation of the source. If two targets disagree about a skill's content, the bundle — not either output — arbitrates.

Named failure mode — projection editing: fixing a rendering problem by hand-editing the converted output, which the next conversion clean-writes away.

Anti-pattern: merging new output into an existing target directory to preserve local tweaks. Corrective: fix the source skill or the adapter, then re-run the clean-write conversion.

Constraints

• Treat the canonical source skill as read-only because conversion must not mutate the contract it is translating.
• Clean-write only the explicit target directory to prevent stale resources from surviving a conversion or unrelated paths from being deleted.
• Fail when copied-resource parity or target-format validation fails because a partial bundle is not a usable conversion.

Pipeline

The converter runs a three-stage pipeline:

parse --> convert --> write

Stage 1: Parse

Read the source skill directory and produce a SkillBundle:

• Extract YAML frontmatter from SKILL.md (between --- markers)
• Collect the markdown body (everything after the closing ---)
• Enumerate all files in references/ and scripts/
• Assemble into a SkillBundle (see references/skill-bundle-schema.md)

Stage 2: Convert

Transform the SkillBundle into the target platform's format:

Target	Output Format	Status
codex	Codex SKILL.md + prompt.md	Implemented
cursor	Cursor .mdc rule + optional mcp.json	Implemented

The Codex adapter produces a SKILL.md with YAML frontmatter (name, description) plus rewritten body content and a prompt.md. Default mode is modular: reference docs, scripts, and resources are copied as files and SKILL.md includes a local resource index instead of inlining everything. Optional inline mode preserves the older behavior by appending inlined references and script code blocks. Codex output normalizes foreign-runtime invocation syntax and paths, rewrites unsupported primitive labels to runtime-neutral wording, and preserves current flat ao CLI commands. It also deduplicates repeated runtime headings while preserving section content. Non-generated resource files and directories are copied with parity checks. Descriptions are truncated to 1024 characters at a word boundary if needed.

The Cursor adapter produces a <name>.mdc rule file with YAML frontmatter (description, globs, alwaysApply: false) and body content. References are inlined into the body, scripts are included as code blocks. Output is budget-fitted to 100KB max -- references are omitted largest-first if the total exceeds the limit. If the skill references MCP servers, a mcp.json stub is also generated.

Stage 3: Write

Write the converted output to disk.

• Default output directory: .agents/converter/<target>/<skill-name>/
• Write semantics: Clean-write. The target directory is deleted before writing. No merge with existing content.

CLI Usage

# Convert a single skill
bash skills/converter/scripts/convert.sh <skill-dir> <target> [output-dir]
bash skills/converter/scripts/convert.sh --codex-layout inline <skill-dir> codex [output-dir]

# Convert all skills
bash skills/converter/scripts/convert.sh --all <target> [output-dir]

Arguments

Argument	Required	Description
skill-dir	Yes (or --all)	Path to skill directory (e.g. skills/council)
target	Yes	Target platform: codex, cursor, or test
output-dir	No	Override output location. Default: .agents/converter/<target>/<skill-name>/
--all	No	Convert all skills in skills/ directory
--codex-layout	No	Codex-only layout mode: modular (default) or inline (legacy inlined refs/scripts)

Supported Targets

• codex -- Convert to OpenAI Codex format (SKILL.md + prompt.md) with runtime-neutral rewrites and flat ao CLI preservation. Default is modular output with copied resources and a local-resource index; pass --codex-layout inline for legacy inlined refs/scripts. Missing copied resources fail fast.
• cursor -- Convert to Cursor rules format (.mdc rule file + optional mcp.json). Output: <dir>/<name>.mdc and optionally <dir>/mcp.json.
• test -- Emit the raw SkillBundle as structured markdown. Useful for debugging the parse stage.

Extending

To add a new target platform:

1. Add a conversion function to scripts/convert.sh (pattern: convert_<target>)
2. Update the target table above
3. Add reference docs to references/ if the target format needs documentation

Examples

Converting a single skill to Codex format

Caller asks: Convert skills/council to Codex format.

What happens:

1. The converter parses skills/council/SKILL.md frontmatter, markdown body, and any references/ and scripts/ files into a SkillBundle.
2. The Codex adapter transforms the bundle into a SKILL.md (body + inlined references + scripts as code blocks) and a prompt.md (Codex prompt referencing the skill).
3. Output is written to .agents/converter/codex/council/.

Result: A Codex-compatible skill package ready to use with OpenAI Codex CLI.

Batch-converting all skills to Cursor rules

Caller asks: Convert all canonical skills to Cursor format.

What happens:

1. The converter scans every directory under skills/ and parses each into a SkillBundle.
2. The Cursor adapter transforms each bundle into a .mdc rule file with YAML frontmatter and body content, budget-fitted to 100KB max. Skills referencing MCP servers also get a mcp.json stub.
3. Each skill's output is written to .agents/converter/cursor/<skill-name>/.

Result: All skills are available as Cursor rules, ready to drop into a .cursor/rules/ directory.

Troubleshooting

Problem	Cause	Solution
parse error: no frontmatter found	SKILL.md is missing the --- delimited YAML frontmatter block	Add frontmatter with at least name: and description: fields, or run Heal Skill on the source package first
Cursor .mdc output is missing references	Total bundle size exceeded the 100KB budget limit	The converter omits references largest-first to fit the budget. Split large reference files or move non-essential content to external docs
Output directory already has old files	Previous conversion artifacts remain	This is expected -- the converter clean-writes by deleting the target directory before writing. If old files persist, manually delete .agents/converter/<target>/<skill>/
--all skips a skill directory	The directory has no SKILL.md file	Ensure each skill directory contains a valid SKILL.md. Run Heal Skill to detect empty directories
Codex prompt.md description is truncated	The skill description exceeds 1024 characters	This is by design. The converter truncates at a word boundary to fit Codex limits. Shorten the description in SKILL.md frontmatter if the truncation point is awkward
Conversion fails with passthrough parity check	A resource entry from source skill wasn't copied to output	Ensure source entries are readable and copyable (including nested files). Re-run conversion; failure is intentional to prevent drift between skills/ and converted output

Output Specification

• Path: .agents/converter/<target>/<skill-name>/ by default, or the exact caller-supplied output directory.
• Filename: Codex emits SKILL.md, prompt.md, and copied resources; Cursor emits <skill-name>.mdc and optional mcp.json; test emits the raw bundle representation.
• Format: target-valid UTF-8 text with required frontmatter, rewritten runtime references, and byte-present passthrough resources; Cursor output remains within 100KB.
• Exit code: run bash skills/converter/scripts/convert.sh <skill-dir> <target> <output-dir> and require zero; treat parse, budget, write, or passthrough-parity failure as nonzero and incomplete.
• Downstream handoff: report the source skill, target, output directory, layout, omitted Cursor references if any, and validation result to the installer or projection gate.

Quality Checklist

• The source tree is unchanged and the output tree contains no files left over from an earlier conversion.
• Every required target file parses with its target frontmatter/schema and every eligible source resource is present.
• Runtime-specific rewrites preserve the source meaning without reintroducing deprecated command forms or foreign-runtime paths.

References

• references/skill-bundle-schema.md -- SkillBundle interchange format specification

Reference Documents

• references/skill-bundle-schema.md