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Agent skill

Output Meta Post Flight

by growthxai in growthxai/output

Post-flight validation for Output SDK workflow operations. An agent skill from growthxai/output.

Apache-2.0Auto-check passed

Install Output Meta Post Flight

skills CLI
$ npx skills add growthxai/output --skill output-meta-post-flight -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install growthxai/output output-meta-post-flight --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/growthxai/output.git skills-src && mkdir -p .claude/skills && cp -r skills-src/coding_assistants/claude/plugins/outputai/skills/output-meta-post-flight .claude/skills/output-meta-post-flight && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
output-meta-post-flight
GitHub stars
442
Token cost
~1.2k tokens
SKILL.md length
548 words
Files
1
Skills in repo
50
Repo updated
First seen
Licence
Apache-2.0

At a glance

Post-flight validation for Output SDK workflow operations. An agent skill from growthxai/output.

  • Works in 4 steps: Document the specific issue and step… → Explain any deviations from the planned… → Provide recommendations for resolution → …
  • SKILL.md covers Execution Verification, Quality Validation, Deliverable Verification and Error Reporting, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Output Meta Post Flight is an agent skill from growthxai/output. Post-flight validation for Output SDK workflow operations. Systematic verification of step completion, convention compliance, quality validation, and deliverable verification.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: The open-source TypeScript framework for building AI workflows and agents. Designed for Claude Code describe what you want, Claude builds it, with all the best practices already… The licence is Apache-2.0.

Example prompts

  • “/output-meta-post-flight”

Requirements

  • Pre-approved tools (allowed-tools): Read

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Document the specific issue and step where it occurred
  2. Explain any deviations from the planned process
  3. Provide recommendations for resolution
  4. Note any missing information that prevented completion

What it can do on your machine

Read from SKILL.md and the folder at commit 99ee298. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Output Meta Post Flight loads about 1.2k tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 548 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from growthxai/output at commit 99ee298, republished under its Apache-2.0 licence (© growthxai). 548 words, ~1,229 tokens.

Download SKILL.mdSave it as .claude/skills/output-meta-post-flight/SKILL.md (or your agent's skills folder).
name
output-meta-post-flight
description
Post-flight validation for Output SDK workflow operations. Systematic verification of step completion, convention compliance, quality validation, and deliverable verification.
allowed-tools
Read

Post-Flight Rules for Output SDK Workflows

Execution Verification

After completing all steps in the process_flow, systematically verify:

Step Completion Audit
  • Every numbered step has been read, executed, and delivered according to its instructions
  • All steps that specified a subagent were delegated to the correct subagent
  • If any subagent was not used as specified, document why and report to the user
  • If any step was not executed according to instructions, explain which part was misread or skipped
Output SDK Convention Compliance

Verify the following conventions were followed:

Import Conventions
  • All TypeScript/JavaScript imports use .js extension for ES modules
  • No direct axios usage - HttpClient wrapper used throughout
  • Proper import paths for Output SDK packages (@outputai/core, @outputai/llm, etc.)
Workflow Structure
  • Workflow exported in entrypoint.ts: export * from './path/to/workflow.js';
  • All external operations wrapped in Temporal activities (steps)
  • Proper error handling with ApplicationFailure patterns
  • Retry policies configured appropriately
Schema Placement
  • All schemas for aiSdk.Output.object() defined in types.ts, not inline in step functions
  • LLM output schemas use .describe() only -- no .min()/.max()/.length() on numbers or arrays
  • Prompt files do not contain JSON output format instructions when aiSdk.Output.object() is used
LLM Provider & Variables
  • All prompt files use the same provider (no mixing unless explicitly requested)
  • Structured generateText/Agent variables use Liquid loops, conditions, or dot notation appropriately
Code Style (see output-dev-code-style)
  • No trailing commas in any generated code
  • No let declarations -- all variables use const
  • Arrow functions use parens only when needed (multi-param or destructured)
  • Operator linebreaks placed after the operator, not before
  • Space in parens: fn( x ) not fn(x)
Documentation & Testing
  • Comprehensive plan document created with all required sections
  • Testing strategy defined with specific test scenarios
  • Implementation checklist provided for developers
  • All code examples are complete and would compile

Quality Validation

Plan Completeness Check

Ensure the workflow plan includes:

  • Overview: Clear purpose and use case definition
  • Technical Specifications: Complete input/output schemas with Zod validation
  • Activity Definitions: Each activity fully specified with purpose, I/O, and error handling
  • Prompt Engineering: LLM prompts designed (if applicable) with template variables
  • Orchestration Logic: Step-by-step workflow execution flow
  • Retry Policies: Configured for each activity with appropriate timeouts
  • Testing Requirements: Comprehensive test scenarios and commands
Show full SKILL.md (199 more words)Show less
Implementation Readiness

Confirm the plan is ready for implementation:

  • All schemas defined with exact field types and descriptions
  • Every activity specified with input/output/processing logic
  • External services identified with specific SDK client references
  • Error handling complete for all failure scenarios
  • Testing scenarios documented with expected outcomes
  • Performance requirements clear with measurable criteria

Deliverable Verification

Required Outputs

Verify these deliverables were created or updated:

  • Workflow plan document with full specifications
  • Activity schemas with Zod validation
  • Prompt templates (if LLM integration required)
  • Testing strategy with specific commands
  • Implementation checklist for developers
Next Steps Documentation

Ensure the following guidance is provided:

  • Clear handoff to implementation phase
  • Specific Output SDK CLI commands to execute
  • Dependencies to install (if any)
  • Configuration requirements documented
  • Success criteria clearly defined

Error Reporting

If any issues were encountered:

  1. Document the specific issue and step where it occurred
  2. Explain any deviations from the planned process
  3. Provide recommendations for resolution
  4. Note any missing information that prevented completion

Final Validation

Before marking the workflow planning complete:

  • Developer can implement without additional clarification
  • All Output SDK patterns and conventions are followed
  • Testing approach is comprehensive and executable
  • Documentation is clear and complete
  • Plan aligns with project's existing workflow patterns

© growthxai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in coding_assistants/claude/plugins/outputai/skills/output-meta-post-flight of growthxai/output.

Open the folder on GitHubat commit 99ee298

Compare with similar skills

Output Meta Post Flight next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Output Meta Post Flight compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Output Meta Post Flight this skillgrowthxai/output442—~1.2kAutomated safety check: PassApache-2.0
Flightsasgeirtj/system_prompts_leaks69k—~2.1kAutomated safety check: PassCC0-1.0
Flightscodewhale-hq/Codewhale41k—~258Automated safety check: PassMIT
Systematic Literature Review Builderbytedance/deer-flow84k2 repos~4.3kAutomated safety check: PassMIT
Systematic Reviewaiming-lab/AutoResearchClaw15k—~246Automated safety check: PassMIT
Systematic DebuggingjnMetaCode/superpowers-zh8.3k—~1.1kAutomated safety check: PassMIT

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Questions about Output Meta Post Flight

What does Output Meta Post Flight do?

Post-flight validation for Output SDK workflow operations. An agent skill from growthxai/output. Output Meta Post Flight is an agent skill from growthxai/output. Post-flight validation for Output SDK workflow operations.

How do I install Output Meta Post Flight in Claude Code?

Run `npx skills add growthxai/output --skill output-meta-post-flight -a claude-code`. Or copy the skill folder (coding_assistants/claude/plugins/outputai/skills/output-meta-post-flight in growthxai/output) into .claude/skills/output-meta-post-flight in your project. Claude Code loads it when a task matches its description.

How do I install Output Meta Post Flight in Codex?

Run `npx skills add growthxai/output --skill output-meta-post-flight -a codex`. Or copy the skill folder (coding_assistants/claude/plugins/outputai/skills/output-meta-post-flight in growthxai/output) into .agents/skills/output-meta-post-flight in your project. Codex loads it when a task matches its description.

Can I use Output Meta Post Flight in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add growthxai/output --skill output-meta-post-flight -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/output-meta-post-flight, .gemini/skills/output-meta-post-flight, .github/skills/output-meta-post-flight and .opencode/skills/output-meta-post-flight in your project.

What does Output Meta Post Flight need to run?

SKILL.md names no scripts, command-line tools or credentials: Output Meta Post Flight is instructions for the agent only. Its frontmatter pre-approves these tools: Read.

Does Output Meta Post Flight access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Output Meta Post Flight safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Output Meta Post Flight use?

Output Meta Post Flight is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Output Meta Post Flight use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Output Meta Post Flight?

Skills that share tags, products or a category with Output Meta Post Flight: Flights (asgeirtj/system_prompts_leaks, 69k stars), Flights (codewhale-hq/Codewhale, 41k stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars) and Systematic Review (aiming-lab/AutoResearchClaw, 15k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Output Meta Post Flight?

growthxai (a GitHub organization) maintains it in growthxai/output, which has 442 GitHub stars. The repository holds 50 skills in this directory. The repository was last updated on October 9, 2026.

Source: growthxai/output on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.