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SKILL verified MIT Self-run

Prompt

skill-treylom-thiscodex-prompt · by treylom

Use when writing, generating, refining, reviewing, or being asked for ANY prompt aimed at an LLM (Claude / GPT / Gemini / Codex), or when building GPTs / Gems system instructions, or when a task is fact-check / research / image-generation prompting. Produces structured, framework-grounded prompts instead of ad-hoc ones. Invoke this BEFORE handing any hand-written prompt to a model.

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Install

$ agentstack add skill-treylom-thiscodex-prompt

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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About

prompt — structured prompt generation

Vendored, unmodified-in-substance copy of the public prompt-engineering-skills package (MIT). It turns a rough intent into a structured, framework-grounded prompt rather than an ad-hoc one, and routes by task type.

When to use (mandatory-invocation)

Invoke this skill — do not free-hand a prompt — whenever the work is:

  • "write / make / improve / review a prompt" for any model
  • building GPTs or Gems system instructions
  • fact-check / research prompting (IFCN-grounded base templates required)
  • image-generation prompting (5-stage framework)
  • any request whose deliverable is itself a prompt

A bot whose config mandates /prompt (see the repo's docs/SETUP-CONFIG-GUIDE.md §"force-invoke") MUST route here first.

How it routes (progressive disclosure)

This SKILL.md is the router. Load the heavy reference only for the matched task — do not read all of it up front:

See references/ for detailed procedures only when the matched prompt task asks for them.

| Task | Load | |---|---| | Generate / refine a prompt (main workflow) | [references/prompt-generator.md](references/prompt-generator.md) | | Framework / technique deep reference | [references/prompt-engineering-guide.md](references/prompt-engineering-guide.md) | | Worked examples (Claude / GPT / image) | [references/examples/](references/examples/) | | Build a GPTs instruction | [references/instructions/GPTs-Prompt-Generator.md](references/instructions/GPTs-Prompt-Generator.md) | | Build a Gems instruction | [references/instructions/Gems-Prompt-Generator.md](references/instructions/Gems-Prompt-Generator.md) | | Build bot meta files (soul.md / CLAUDE.md / AGENTS.md) | [references/instructions/Bot-Persona-Generator.md](references/instructions/Bot-Persona-Generator.md) |

Procedure:

  1. Classify the request (generate / fact-check / research / image / GPTs / Gems).
  2. Read only the matched reference above.
  3. For fact-check / research, the engineering guide's IFCN base template is

mandatory — do not emit a generic XML prompt.

  1. Produce the structured prompt; show the user the final prompt explicitly.

Subcommands

This is a single-invocation skill — call /prompt with your task description (generate, review, refine, GPT/Gem instructions, image, fact-check, research). The skill routes internally to the matched reference (generator, engineering guide, examples, GPT/Gem instructions). Subcommands are:

| When to use | Call | |---|---| | Generate or refine a prompt | /prompt — turns rough intent into a structured, framework-grounded prompt. | | Review a prompt for robustness | /prompt review: — checks completeness, phrasing, and edge cases. | | Build GPT system instructions | /prompt gpt: — generates structured GPT instructions using the GPT-Prompt-Generator framework. | | Build Gem system instructions | /prompt gem: — generates structured Gem instructions using the Gems-Prompt-Generator framework. | | Build bot persona/meta files | /prompt bot-persona: — generates soul.md + CLAUDE.md/AGENTS.md using the Bot-Persona-Generator framework (used by guided onboarding). | | Image generation prompting | /prompt image: — applies the 5-stage image-generation framework (subject, style, composition, quality, mood). | | Fact-check or research prompting | /prompt research: — wraps the IFCN base template for verifiable claims and source-grounded research. | | Study the framework | Load references/prompt-engineering-guide.md — deep techniques, mental models, and worked examples. |

Attribution

  • Upstream: github.com/treylom/prompt-engineering-skills (public, MIT) —

see [LICENSE](LICENSE). Context-Engineering basis: Muratcan Koylan, Agent-Skills-for-Context-Engineering.

  • Vendored here so the bot ships self-contained. The upstream maintainer's

personal deploy script (commands/prompt-sync.md) is intentionally excluded (machine-specific, not relevant to distributees).

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.