
converter
Convert AgentOps skill formats. Triggers: "converter", "convert agentops skill formats.", "converter skill".
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/boshu2/agentops --skill converter- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads converter automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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.
This is not the owner of the shipped skills-codex/** projection: that path is generated and gated by scripts/codex-sync.sh via scripts/regen-all.sh. This converter is an ad-hoc, out-of-tree exporter (Codex, Cursor) that writes under .agents/projections/converter/; it never mutates skills-codex/**. When the shipped Codex twin and this exporter disagree, the shipped path wins.
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/andscripts/ - 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/projections/converter/<target>/<skill-name>/ - Write semantics: Clean-write. The target directory is deleted before writing. No merge with existing content.
- Refusal guard: the write stage refuses — it does not silently redirect — when the resolved output directory equals the source package, contains it (an ancestor), or is the repository root, because the clean-write would otherwise delete the very files the conversion must read.
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/projections/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 flataoCLI preservation. Default is modular output with copied resources and a local-resource index; pass--codex-layout inlinefor legacy inlined refs/scripts. Missing copied resources fail fast. - cursor -- Convert to Cursor rules format (
.mdcrule file + optionalmcp.json). Output:<dir>/<name>.mdcand 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:
- Add a conversion function to
scripts/convert.sh(pattern:convert_<target>) - Update the target table above
- 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:
- The converter parses
skills/council/SKILL.mdfrontmatter, markdown body, and anyreferences/andscripts/files into a SkillBundle. - The Codex adapter transforms the bundle into a
SKILL.md(body + inlined references + scripts as code blocks) and aprompt.md(Codex prompt referencing the skill). - Output is written to
.agents/projections/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:
- The converter scans every directory under
skills/and parses each into a SkillBundle. - The Cursor adapter transforms each bundle into a
.mdcrule file with YAML frontmatter and body content, budget-fitted to 100KB max. Skills referencing MCP servers also get amcp.jsonstub. - Each skill's output is written to
.agents/projections/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/projections/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/projections/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>.mdcand optionalmcp.json;testemits 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
FAQ
What does the converter skill do?
Convert AgentOps skill formats. Triggers: "converter", "convert agentops skill formats.", "converter skill".
How do I install converter?
Run npx skills add https://github.com/boshu2/agentops --skill converter in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/converter/ (personal) or .claude/skills/converter/ (project).
Which AI agents can use converter?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is converter safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains converter?
It is published by boshu2 in boshu2/agentops. It has 1,326 recorded installs.
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