New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Prompt Authoring

by a-streetcoder in a-streetcoder/agent-deck

Create or improve Agent Deck/Pi prompt templates for reusable parent-session workflows.

MITAuto-check passedAI & LLM Engineering

Install Prompt Authoring

skills CLI
$ npx skills add a-streetcoder/agent-deck --skill prompt-authoring -a claude-code

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

GitHub CLI
$ gh skill install a-streetcoder/agent-deck prompt-authoring --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/a-streetcoder/agent-deck.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent-deck/bundled-skills/prompt-authoring .claude/skills/prompt-authoring && 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
prompt-authoring
GitHub stars
118
Token cost
~721 tokens
SKILL.md length
282 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Create or improve Agent Deck/Pi prompt templates for reusable parent-session workflows.

  • Works in 6 steps: Choose a short kebab-case… → Decide whether the prompt needs arguments. → Write concise frontmatter. → …
  • Tasks that involve Prompt engineering
  • SKILL.md covers Runtime facts, Locations, Format and Arguments, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Prompt Authoring is an agent skill from a-streetcoder/agent-deck. Create or improve Agent Deck/Pi prompt templates for reusable parent-session workflows.

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering Prompt engineering. The licence is MIT.

When your agent uses it

  • Tasks that involve Prompt engineering

Example prompts

  • “/prompt-authoring”

Workflow steps

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

  1. Choose a short kebab-case filename/invocation.
  2. Decide whether the prompt needs arguments.
  3. Write concise frontmatter.
  4. Write a clear, self-contained prompt body.
  5. Save it to the requested prompt catalog/source location.
  6. Tell the user the invocation, file path, whether it expects arguments, and whether it still needs Default or Project assignment in Agent…

What it can do on your machine

Read from SKILL.md and the folder at commit 9efbe6c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    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

Prompt Authoring loads about 721 tokens when it runs. Until then it costs about 26 tokens; SKILL.md has 282 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~26
When it runs · the whole SKILL.md, loaded when a task matches
~721

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 a-streetcoder/agent-deck at commit 9efbe6c, republished under its MIT licence (© a-streetcoder). 282 words, ~721 tokens.

Download SKILL.mdSave it as .claude/skills/prompt-authoring/SKILL.md (or your agent's skills folder).
name
prompt-authoring
description
Create or improve Agent Deck/Pi prompt templates for reusable parent-session workflows.

Prompt authoring

Use this skill when the user wants a reusable slash prompt, workflow shortcut, or global/imported prompt template for parent Pi Agent sessions.

Runtime facts

  • Prompt templates are Markdown files that expand when the user types /name in a parent Pi session.
  • The filename is the invocation name: review-staged.md becomes /review-staged.
  • Prompt templates are user-message macros, not system prompts and not skills.
  • Agent Deck scans prompt templates into a catalog.
  • Agent Deck parent sessions launch with --no-prompt-templates and pass only assigned templates with explicit --prompt-template <path> flags.
  • Native subagents do not receive prompt templates.

Locations

Create reusable catalog prompts in Agent Deck's prompt library unless the user asks to keep an existing file elsewhere and import it by reference through Agent Deck’s + flow:

text
~/.pi/agent/prompt-library/<name>.md

Agent Deck no longer discovers project-local .pi/prompts or project settings prompts/package prompt sources as catalog resources. Global/default and project availability are Agent Deck assignments. Do not rely on ambient Pi prompt discovery. Import is by reference, not a copy.

Format

Use Markdown with optional frontmatter:

md
---
description: Short autocomplete description
argument-hint: "[optional-focus]"
---

Prompt body here.

Rules:

  • Keep the description short and user-facing.
  • Use argument-hint only when arguments are expected.
  • If no arguments are needed, omit argument-hint and do not include placeholders.
  • Make the body complete enough to be useful after expansion.
  • Avoid hidden, broad, or permanent behavioral instructions; templates are one-shot user prompts.

Arguments

Supported placeholders:

text
$1, $2, ...        positional arguments
$@                 all arguments joined
$ARGUMENTS         all arguments joined
${@:N}             arguments from N onward, 1-indexed
${@:N:L}           L arguments starting at N

Examples:

md
---
description: Review a target with an optional focus
argument-hint: "<target> [focus]"
---

Review $1.

Focus on: ${@:2}

No-argument template:

md
---
description: Review staged git changes
---

Review the staged git changes with `git diff --cached`.

Focus on:
- bugs
- regressions
- missing tests

Authoring workflow

  1. Choose a short kebab-case filename/invocation.
  2. Decide whether the prompt needs arguments.
  3. Write concise frontmatter.
  4. Write a clear, self-contained prompt body.
  5. Save it to the requested prompt catalog/source location.
  6. Tell the user the invocation, file path, whether it expects arguments, and whether it still needs Default or Project assignment in Agent Deck.

© a-streetcoder, MIT. 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 agent-deck/bundled-skills/prompt-authoring of a-streetcoder/agent-deck.

Open the folder on GitHubat commit 9efbe6c

Compare with similar skills

Prompt Authoring 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.

Prompt Authoring compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prompt Authoring this skilla-streetcoder/agent-deck118—~721Automated safety check: PassMIT
Prompt Improverseverity1/claude-code-prompt-improver1.9k1 repos~1.7kAutomated safety check: PassMIT
Prompt Engineering Patternsynulihao/AgentSkillOS61714 repos~1.7kAutomated safety check: PassNone
Patch CreationPiebald-AI/tweakcc2.5k—~1.6kAutomated safety check: PassMIT
Senior Prompt Engineermaslennikov-ig/claude-code-orchestrator-kit2603 repos~1.4kAutomated safety check: PassCustom licence
Codex Fable5baskduf/FableCodex437—~1.6kAutomated safety check: PassAGPL-3.0

Similar skills

  • Prompt Improver

    severity1/claude-code-prompt-improver

    This skill enriches vague prompts with targeted research and clarification before execution.

    1.9k GitHub starsUsed in 1 repo~1.7k tokens
    AI & LLM EngineeringAuto-check passed

  • Prompt Engineering Patterns

    ynulihao/AgentSkillOS

    Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production.

    617 GitHub starsUsed in 14 repos~1.7k tokens
    AI & LLM EngineeringAuto-check passed

  • Patch Creation

    Piebald-AI/tweakcc

    Create and register new patches for tweakcc. An agent skill from Piebald-AI/tweakcc.

    2.5k GitHub stars~1.6k tokensUpdated yesterday
    AI & LLM EngineeringAuto-check passed

  • Senior Prompt Engineer

    maslennikov-ig/claude-code-orchestrator-kit

    Provides reference guides and Python scripts for prompt optimization, RAG evaluation, and agent orchestration when building or tuning LLM systems.

    260 GitHub starsUsed in 3 repos~1.4k tokens
    AI & LLM EngineeringAuto-check passed

  • Codex Fable5

    baskduf/FableCodex

    Apply a Claude Fable 5 inspired operating style inside Codex.

    437 GitHub stars~1.6k tokensUpdated 2 mo ago
    AI & LLM EngineeringAuto-check passed

  • Prompt Engineering Patterns

    wshobson/agents

    Reference for designing and tuning production LLM prompts: few-shot examples, chain-of-thought, structured outputs, templates and system prompts.

    40k GitHub stars~1.3k tokensUpdated 4 days ago
    AI & LLM EngineeringAuto-check passed

More from a-streetcoder/agent-deck

  • Agent Authoring

    a-streetcoder/agent-deck

    A skill your agent uses when creating or reviewing Agent Deck agents, including frontmatter, tools, supervisor behavior, continuation behavior, and skill assignment.

    118 GitHub stars~1.4k tokensUpdated 2 mo ago
    Auto-check passed

  • MCP Install Helper

    a-streetcoder/agent-deck

    A skill your agent uses when helping users install, import, repair, or verify MCP server configurations in Agent Deck.

    118 GitHub stars~1.4k tokensUpdated 2 mo ago
    Auto-check passed

  • Loop Authoring

    a-streetcoder/agent-deck

    A skill your agent uses when creating, refining, or validating Agent Deck loops, especially to guide users iteratively through loop goal, structure, agents, write target, and safety choices.

    118 GitHub stars~1.6k tokensUpdated 2 mo ago
    Auto-check passed

  • Skill Authoring

    a-streetcoder/agent-deck

    Create or improve Agent Deck/Pi skills, including where to save them, SKILL.md frontmatter, simple vs modular structure, and validation.

    118 GitHub stars~1.8k tokensUpdated 2 mo ago
    Auto-check passed

Categories

Questions about Prompt Authoring

What does Prompt Authoring do?

Create or improve Agent Deck/Pi prompt templates for reusable parent-session workflows. Prompt Authoring is an agent skill from a-streetcoder/agent-deck. Create or improve Agent Deck/Pi prompt templates for reusable parent-session workflows.

When should I use Prompt Authoring?

Prompt Authoring fits situations like: tasks that involve Prompt engineering.

How do I install Prompt Authoring in Claude Code?

Run `npx skills add a-streetcoder/agent-deck --skill prompt-authoring -a claude-code`. Or copy the skill folder (agent-deck/bundled-skills/prompt-authoring in a-streetcoder/agent-deck) into .claude/skills/prompt-authoring in your project. Claude Code loads it when a task matches its description.

How do I install Prompt Authoring in Codex?

Run `npx skills add a-streetcoder/agent-deck --skill prompt-authoring -a codex`. Or copy the skill folder (agent-deck/bundled-skills/prompt-authoring in a-streetcoder/agent-deck) into .agents/skills/prompt-authoring in your project. Codex loads it when a task matches its description.

Can I use Prompt Authoring 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 a-streetcoder/agent-deck --skill prompt-authoring -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-authoring, .gemini/skills/prompt-authoring, .github/skills/prompt-authoring and .opencode/skills/prompt-authoring in your project.

What does Prompt Authoring need to run?

SKILL.md names no scripts, command-line tools or credentials: Prompt Authoring is instructions for the agent only.

Does Prompt Authoring 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 Prompt Authoring 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 Prompt Authoring use?

Prompt Authoring is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prompt Authoring use?

About 721 tokens (SKILL.md is roughly 2.9k 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 Prompt Authoring?

Skills that share tags, products or a category with Prompt Authoring: Prompt Improver (severity1/claude-code-prompt-improver, 1.9k stars), Prompt Engineering Patterns (ynulihao/AgentSkillOS, 617 stars), Patch Creation (Piebald-AI/tweakcc, 2.5k stars) and Senior Prompt Engineer (maslennikov-ig/claude-code-orchestrator-kit, 260 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prompt Authoring?

a-streetcoder (a GitHub organization) maintains it in a-streetcoder/agent-deck, which has 118 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 1, 2026.

Source: a-streetcoder/agent-deck on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.