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oma-skill-creation

Create or revise OMA skills and their references. Use for skill routing, execution contracts, conditional loading, and authoring validation.

AI 与智能体1.3kskills/oma-skill-creation/SKILL.md

Install

Send this to Claude Code, Codex or Cursor. The agent checks the Skill for safety first and installs it only after you confirm.

读取 https://funcoding.ai/skills/first-fluke/oh-my-agent/oma-skill-creation/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

OMA Skill Authoring

Scheduling

Goal

Create or revise a usable OMA skill with clear routing, one execution path, domain-specific recovery, and proportionate context.

Intent signature

  • Create, update, audit, or normalize an OMA skill, its resources, or the SSL-lite format.
  • Decide whether content belongs inline, in a conditional resource, or should be removed.

When to use

  • Authoring .agents/skills/{name}/SKILL.md and supporting resources.
  • Reviewing skill routing, execution contracts, reference loading, or duplicated instructions.

When NOT to use

  • Installing third-party skills -> skill installer; creating a Codex plugin -> plugin tooling.
  • Application implementation -> the owning specialist; project requirements -> oma-pm.

Expected inputs

Skill purpose, triggers, boundaries, execution model, and existing commands/resources or user edits to preserve.

Expected outputs

A four-section SKILL.md, only necessary supporting resources, and validation results with unresolved limitations.

Dependencies

resources/ssl-lite-template.md for the skeleton and resources/validation-checklist.md for acceptance criteria. Use native file tools and available oma skill validators. Follow repository rules for source ownership and generated copies.

Structural Flow

Transitions

  • New skill: compare 1–3 analogous skills, then use the template.
  • Existing skill: preserve working domain detail and change only the requested scope.
  • Repeated instructions: retain one authoritative location and a short reference where independently invoked entry points need it.
  • Long or conditional detail: move to a named resource with a load condition. Do not move a duplicate merely to keep it elsewhere.
  • Machine-checkable artifacts: declare structured outputs: as documented in the template.

Failure and recovery

FailureRecovery
Overbroad routingNarrow triggers and add a concrete When NOT to use cross-route
Vague executionAdd actual objects, paths, command flags, and evidence to the canonical path
Repeated procedure in multiple sectionsKeep the canonical procedure; retain only distinct branches or state transitions elsewhere
Required tool unavailableUse the documented fallback; otherwise report which result cannot be verified
Conflicting source and generated copiesUse the repository's generation flow; do not hand-edit protected definitions

Exit

A completed skill has valid structure, useful routing, executable steps, recoverable failures, valid references, and applicable validation evidence. Missing tools or unresolved assumptions must remain explicit.

Logical Operations

Canonical workflow path

  1. Read the target, its invoked resources, and relevant repository rules. Identify which entry points run independently and which content the runtime already injects.
  2. Select command-heavy, judgment-heavy, or reference-heavy behavior. Use the template's minimal skeleton and optional sections only where they add information.
  3. Write the canonical procedure once. Preserve exact command/output contracts, failure mechanisms, side effects, and harmful-action limits; remove generic restatements and redundant examples.
  4. Index resources once under References with load conditions. Keep source-adjacent evidence one hop from SKILL.md where possible.
  5. Run oma skill lint --skill <name> and git diff --check. If routing descriptions changed, run oma skill audit. Apply the content checks in resources/validation-checklist.md that automated lint does not cover.
  6. Report the changes, checks, and remaining limits. Do not claim reduced token usage merely from removing duplicate files; measure the context actually loaded when making that claim.

Resource scope and effects

Skill work reads and may change local definitions/resources and generated vendor copies through the authorized repository flow. User data and credentials are not skill examples. Commits and publishing require the corresponding authorization.

Guardrails

  1. Keep YAML name and a routing-grade description. Preserve the four top-level headings: Scheduling, Structural Flow, Logical Operations, References.
  2. Keep one canonical command/workflow path, an Intent signature, When to use/When NOT to use, input/output expectations, failure recovery, and relevant effects/guardrails. Section titles beyond these are optional when their information is already represented.
  3. Entry, Scenes, Actions, and tool/scope tables must add distinct information. Do not repeat a procedure to fill the template.
  4. Keep SKILL.md under 500 body lines. Load supporting resources conditionally; do not create README/changelog/install documents inside a skill merely to explain the skill.
  5. Keep parsed output/schema examples. Do not prescribe decorative report layouts or add generic self-review loops; use runnable validators and explicit evidence requirements.
  6. Process bulk data through deterministic tools and return summaries/artifact paths instead of streaming raw data into context.
  7. Preserve unrelated user edits. Apply the shared execution policy to clarification, authorization, and verification.

References

  • Prompt behavior and model comparisons: resources/prompt-evaluation.md (routing, injection, authorization, or review-contract changes)
  • Skeleton and optional sections: resources/ssl-lite-template.md (authoring or restructuring)
  • Acceptance criteria: resources/validation-checklist.md (validation)
  • Context loading: ../_shared/core/context-loading.md (resource/injection decisions)
  • Quality principles: ../_shared/core/quality-principles.md (domain verification requirements)
  • Eval fixtures: web/docs/guide/skill-eval.md (when measuring held-out task utility with oma skill eval or oma skill optimize)

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