agentsclimarketplace

Converter

Skill boshu2/agentops/skills/converter

The operating loop a coding agent follows — and skills to orchestrate multi-agent systems.

Install
npx -y skills add boshu2/agentops --skill converter

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What its author says it does

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Convert AgentOps skill formats. Triggers: "converter", "convert agentops skill formats.", "converter skill".

SKILL.md

10.4 KB, as published. Nobody here has run it

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/ and scripts/
  • Assemble into a SkillBundle (see references/skill-bundle-schema.md)

Stage 2: Convert

Transform the SkillBundle into the target platform's format:

TargetOutput FormatStatus
codexCodex SKILL.md + prompt.mdImplemented
cursorCursor .mdc rule + optional mcp.jsonImplemented

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

ArgumentRequiredDescription
skill-dirYes (or --all)Path to skill directory (e.g. skills/council)
targetYesTarget platform: codex, cursor, or test
output-dirNoOverride output location. Default: .agents/projections/converter/<target>/<skill-name>/
--allNoConvert all skills in skills/ directory
--codex-layoutNoCodex-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/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:

  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/projections/converter/cursor/<skill-name>/.

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

Troubleshooting

ProblemCauseSolution
parse error: no frontmatter foundSKILL.md is missing the --- delimited YAML frontmatter blockAdd frontmatter with at least name: and description: fields, or run Heal Skill on the source package first
Cursor .mdc output is missing referencesTotal bundle size exceeded the 100KB budget limitThe 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 filesPrevious conversion artifacts remainThis 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 directoryThe directory has no SKILL.md fileEnsure each skill directory contains a valid SKILL.md. Run Heal Skill to detect empty directories
Codex prompt.md description is truncatedThe skill description exceeds 1024 charactersThis 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 checkA resource entry from source skill wasn't copied to outputEnsure 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>.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

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.