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Senior Engineer Mindset

Community
songjiun10-collab
senior-engineer-mindset

Router for thinking like a senior, principal, distinguished/fellow, or executive-level (CTO/VP-Eng) engineer BEFORE writing code. Picks which thinking disciplines fit the task at hand and dispatches to them. Use this proactively whenever the user asks to build a feature, choose a library/framework/database, design an API or data model, fix a bug whose cause isn't obvious, or refactor — even if they never say "design", "design review", or "senior". Skip for one-line fixes, explicitly throwaway prototypes, or when the user handed over a fully-specified plan and just wants it typed out. Bundles an optional PreToolUse/PostToolUse hook (scripts/check_ask_before_hard_change.py) that nudges toward an AskUserQuestion check-in before editing a hard-to-reverse surface.

Overview

Publishersongjiun10-collab
RepositorySenior-thinking-skills
Skill namesenior-engineer-mindset
Stars
88
Forks
12
Bundled files
10
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 10 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by songjiun10-collab on GitHub. Read the source before you install it.

Installation

Install the Senior Engineer Mindset AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/songjiun10-collab/Senior-thinking-skills/tree/main/senior-engineer-mindset
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/songjiun10-collab/Senior-thinking-skills.git /tmp/Senior-thinking-skills
mkdir -p .claude/skills
cp -r /tmp/Senior-thinking-skills/senior-engineer-mindset .claude/skills/senior-engineer-mindset
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Senior Engineer Mindset in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Senior Engineer Mindset on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Senior Engineer Mindset is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Senior + Principal + Distinguished + Executive Engineer Mindset (router)

The gap between junior and senior isn't "how well you write code" — it's what you think about before you write it. This skill bundles that thinking process — four stacked lenses (Senior/Principal/Distinguished/Executive), a workflow of sub-skills, and a three-track classification (Spike/Bounded/Structural) — and is tuned per model, because how much hand-holding, effort, and narration each part needs differs by tier.

ModelFile
Claude Opus 5.5opus-5-5.md
Claude Fable 5.1fable-5-1.md
Claude Sonnet 5sonnet-5.md
Claude Sonnet 5.5sonnet-5-5.md
Claude Haiku 5.5haiku-5-5.md
OpenAI GPT-6 Astragpt-6-astra.md
OpenAI GPT-6 Solgpt-6-sol.md
OpenAI GPT-6.1 Solgpt-6-1-sol.md
OpenAI GPT-6 Lunagpt-6-luna.md

Read the file matching the model actually running before applying this skill. Each file is a complete, standalone rewrite covering the four-lens framing, the sub-skill and situational-pick tables, track classification, the "too simple to need a check" trap, output format, and the skip list — calibrated for that model. The hook below is not model-dependent and applies the same way regardless of which file you read.

Running a model not listed above (an older generation, a different model family entirely)? sonnet-5.md carries the fullest general-purpose version of the underlying procedure — read that one rather than skipping this skill.

Optional: enforce with a hook

The rule that a hard-to-reverse decision gets a check-in first is mechanically catchable to a degree: scripts/check_ask_before_hard_change.py watches for an Edit/Write/MultiEdit targeting a path that looks like a hard-to-reverse surface (schema, migration, public API spec, dependency manifest) with no AskUserQuestion call in the recent window (ASK_HOOK_WINDOW_SECONDS, default 1800s). By default it only warns, it doesn't block — set ASK_HOOK_STRICT=1 to make a hit actually block the edit.

Add to .claude/settings.json:

json
{
  "hooks": {
    "PreToolUse": [
      {
        "matcher": "Edit|Write|MultiEdit",
        "hooks": [
          { "type": "command", "command": "python3 .claude/skills/senior-engineer-mindset/scripts/check_ask_before_hard_change.py" }
        ]
      }
    ],
    "PostToolUse": [
      {
        "matcher": "AskUserQuestion",
        "hooks": [
          { "type": "command", "command": "python3 .claude/skills/senior-engineer-mindset/scripts/check_ask_before_hard_change.py" }
        ]
      }
    ]
  }
}

If your skill is installed at a different path, update the command path to match. This is a path-based heuristic, not a real understanding of what's actually hard to reverse — it can't tell a real schema change from an unrelated edit to a file that happens to live in migrations/, and it can't tell a dependency version bump from a comment-only edit to a manifest file. A false positive just costs a wasted nudge (advisory by default); it isn't a substitute for actually judging whether a decision is hard to reverse. Same example-level-enforcement framing as delegate-to-subagents's bundled hook — not a red-team-tested CRITICAL-tier block. See delegate-to-subagents's hook section for the plugin that does provide that tier (songjiun10-collab/hook).

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Senior Engineer Mindset AI skill do?

Router for thinking like a senior, principal, distinguished/fellow, or executive-level (CTO/VP-Eng) engineer BEFORE writing code. Picks which thinking disciplines fit the task at hand and dispatches to them. Use this proactively whenever the user asks to build a feature, choose a library/framework/database, design an API or data model, fix a bug whose cause isn't obvious, or refactor — even if they never say "design", "design review", or "senior". Skip for one-line fixes, explicitly throwaway prototypes, or when the user handed over a fully-specified plan and just wants it typed out. Bundle...

Why use Senior Engineer Mindset on TypingMind?

Because you install it once and use it with any model. Senior Engineer Mindset is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Senior Engineer Mindset in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/songjiun10-collab/Senior-thinking-skills/tree/main/senior-engineer-mindset. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Senior Engineer Mindset?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Senior Engineer Mindset?

As many as you like. As long as a model supports skills, you can use Senior Engineer Mindset with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Senior Engineer Mindset AI skill free?

Yes. It is published on GitHub by songjiun10-collab under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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