Skip to content
cccskills
FreePublished on GitHub

agent-workflow-packager

Converts repeated AI coding-agent workflows into reusable skill packages with triggers, guardrails, examples, and verification checks. Use when a user wants to turn a prompt, checklist, AGENTS.md section, Claude/Codex workflow, or recurring agent task into a portable SKILL.md.

The English summary is being prepared. Showing the original description.

Works withStripe
See how to install

Files included (2)

  • SKILL.md6.0 KB
  • _scores.json1.9 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Agent Workflow Packager

Overview

Package a repeated coding-agent workflow into a reusable SKILL.md that another agent can follow without rediscovering context. The output should include clear activation triggers, bounded instructions, examples, and a verification checklist that proves the workflow worked.

Instructions

When a user asks to turn a prompt, checklist, runbook, AGENTS.md section, or repeated agent task into a skill, follow this process.

Step 1: Extract the recurring workflow

Identify:

  • The user persona and recurring task.
  • The input artifacts the agent needs, such as a PR URL, failing test output, issue, design screenshot, or repo path.
  • The expected output artifact, such as a patch, review, migration plan, report, or generated file.
  • The steps the user repeats manually.
  • The failure modes the user keeps correcting.
  • The command or inspection that proves the task is done.

If the workflow is a one-off request, say that it is not yet a good skill candidate and offer a shorter checklist instead.

Step 2: Define activation triggers

Write a description that includes both what the skill does and when to use it. Include specific trigger phrases from the user's workflow, such as:

  • "review this PR for security issues"
  • "turn this runbook into an agent skill"
  • "replay our release checklist"
  • "debug failing GitHub Actions"
  • "convert this AGENTS.md workflow into SKILL.md"

Do not use broad triggers like "help with code" or "improve productivity".

Step 3: Bound the skill

Add constraints that prevent overreach:

  • What the skill should do.
  • What it should not do.
  • When it must ask for missing inputs.
  • Which files, commands, or tools are safe to use.
  • Which user approvals are required before writes, deploys, purchases, or public posts.

Keep the skill focused on one reusable job. Split unrelated work into separate skills.

Step 4: Write the package

Create a SKILL.md with:

---
name: short-kebab-case-name
description: >-
  What the skill does and when to use it, including concrete trigger words.
license: Apache-2.0
compatibility: "No special requirements"
metadata:
  author: github-username
  version: "1.0.0"
  category: development
  tags: ["tag-one", "tag-two", "tag-three"]
---

Then add:

  • # Skill Name
  • ## Overview
  • ## Instructions
  • ## Examples
  • ## Guidelines

Use imperative, step-by-step instructions. Avoid long background essays.

Step 5: Add examples

Include at least two realistic examples. Each example should show:

  • The user's input.
  • The agent's action plan.
  • The expected output shape.
  • The verification step.

Use concrete repo names, files, commands, and outputs. Do not use placeholders like foo, bar, or lorem ipsum.

Step 6: Add verification

End with a checklist the agent can run before claiming success:

  • Frontmatter parses as YAML.
  • The skill has clear triggers.
  • The workflow has a bounded input and output.
  • The examples are realistic.
  • The verification commands or review checks are explicit.
  • The skill stays under the target length for the host catalog.

Examples

Example 1: Package a PR review workflow

User request: "We always ask agents to review payment PRs for auth, idempotency, Stripe webhook replay, and tests. Turn that into a reusable skill."

Agent output shape:

---
name: payment-pr-reviewer
description: >-
  Reviews payment-related pull requests for authorization, idempotency, webhook
  replay safety, money movement bugs, and test coverage. Use when reviewing PRs
  that touch Stripe, billing, subscriptions, invoices, or checkout code.
license: Apache-2.0
compatibility: "Any repository with payment code"
metadata:
  author: acme-dev
  version: "1.0.0"
  category: development
  tags: ["payments", "code-review", "stripe", "security"]
---

The skill includes a review checklist, severity format, and verification step: inspect changed payment files, read related tests, and confirm webhook replay cases are covered.

Example 2: Package a release checklist

User request: "Every release we paste the same steps: update changelog, run tests, build Docker image, tag, push, and draft GitHub release."

Agent output shape:

---
name: release-checklist-runner
description: >-
  Runs a project's release checklist from changelog update through tests, image
  build, git tag, push, and draft release notes. Use when preparing a versioned
  release or turning a manual release runbook into an agent workflow.
license: Apache-2.0
compatibility: "Requires git and the project's build toolchain"
metadata:
  author: acme-dev
  version: "1.0.0"
  category: devops
  tags: ["release", "changelog", "git", "ci"]
---

The skill requires the agent to detect the package manager, read existing release docs, run the repo's test and build commands, and stop before publishing unless the user approves.

Guidelines

  • Prefer evidence from past prompts, commits, issues, and runbooks over guessing.
  • Keep one skill scoped to one recurring workflow.
  • Use host-agnostic language unless the workflow truly depends on one agent.
  • Make destructive, public, or paid actions approval-gated.
  • Include exact file paths and commands only when they are stable for the target project.
  • If the workflow needs extra templates or scripts, mention those files in the skill and keep them next to SKILL.md.
  • Do not package a vague preference as a skill. A good skill has repeated inputs, repeated steps, and a clear done condition.

Reviews

No reviews yet. Tell others what you thought.

Comments

No login needed. Share how it worked for you, ask a question, or note where it did not run.

No comments yet. Be the first to write one.

Comments are published right away. Do not include personal information such as email addresses or phone numbers. Up to 2 URLs.

0 / 1,000 characters

This form is protected by reCAPTCHA, and the Google Privacy Policy and Terms of Service apply.

More skills from this repository

Scripts and configures production rendering in Autodesk 3ds Max with the V-Ray and Corona renderers: output size and files, render elements, denoising, light mix, batch and command-line rendering, and network rendering. Use when a user asks to set up a production render, render several cameras in one batch, render from the command line or on a render farm, add render passes for compositing, or cut render time for archviz and product shots.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

Covers scripting Autodesk 3ds Max, the 3D modeling and rendering application, with MAXScript and Python (pymxs): scene manipulation, object creation, material assignment, camera and light setup, batch operations, and file I/O. Use when tasks involve automating repetitive 3ds Max workflows, batch processing scenes, running scripts headless with 3dsmaxbatch, creating custom tools, or scripting scene setup for archviz, product visualization, or VFX.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

3proxy

Free

3proxy is a small open-source proxy server that runs HTTP/HTTPS, SOCKS4/5, SNI and TCP/UDP port-mapping proxies from one config file. Use when a user asks to set up an HTTP or SOCKS5 proxy, add proxy users and passwords, write 3proxy access rules, chain or rotate upstream (parent) proxies, limit bandwidth, connections or monthly traffic per user, run 3proxy in Docker, or fix a 3proxy.cfg that will not start.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

Builds Agent2Agent (A2A) servers and clients, the open protocol (originally from Google, now under the Linux Foundation) that lets AI agents from different frameworks call each other. Use when the user wants to create an A2A-compliant agent, build an Agent Card, implement task management, connect agents across frameworks, set up agent discovery, handle streaming responses, implement push notifications, or orchestrate multi-agent workflows. Trigger words: a2a, agent to agent, agent2agent, a2a protocol, a2a server, a2a client, agent card, agent interoperability, agent collaboration, multi-agent, agent discovery, a2a sdk, a2a task.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

Plans a controlled experiment (A/B test) so its result can be trusted: writes the hypothesis, picks one primary metric and the guardrails, computes sample size and run time, specifies how visitors are assigned and when exposure is logged, and reads out the result with a confidence interval. Use when someone says "set up an A/B test", "split test this page", "how many visitors do I need", "how long should the experiment run", "is this result significant", "can I stop the test early", or wants to test a headline, price, layout or onboarding change against the current version.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

ably

Free

Ably is a hosted realtime messaging service: clients publish and subscribe to named channels over WebSockets, see who is present, replay message history, and resume after a dropped connection. Use when a user asks to "add realtime updates", "push live notifications to the browser", "show who is online", "add a chat room with typing indicators", "publish from a serverless function", or "authenticate Ably clients without exposing the API key". Covers the ably 2.x JavaScript SDK (Realtime and REST), JWT token authentication, presence, history and rewind, batch publishing, and the @ably/chat 1.x SDK.

The English summary is being prepared. Showing the original description.

TerminalSkills/skills172Updated Oct 14, 2026

See all skills by TerminalSkills

Report a problem with this skill