Agent skill

Junior To Senior

by JuliusBrussee in JuliusBrussee/skills

Adversarial senior-engineer review for agent-generated plans, designs, and architectures.

MITAuto-check passedResearch & Science

Install Junior To Senior

skills CLI
$ npx skills add JuliusBrussee/skills --skill junior-to-senior -a claude-code

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

GitHub CLI
$ gh skill install JuliusBrussee/skills junior-to-senior --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/JuliusBrussee/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/junior-to-senior .claude/skills/junior-to-senior && 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
junior-to-senior
GitHub stars
162
Token cost
~2.3k tokens
SKILL.md length
1,205 words
Files
3 (incl. references)
Skills in repo
6
Repo updated
First seen
Licence
MIT

At a glance

Adversarial senior-engineer review for agent-generated plans, designs, and architectures.

  • Works in 5 steps: Capture the junior artifact → Construct the senior → Diagnose the altitude → …
  • The user says junior to senior
  • SKILL.md covers The cardinal rule, Phase 0: Capture the junior…, Phase 1: Construct the senior and Phase 2: Diagnose the altitude, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Junior To Senior is an agent skill from JuliusBrussee/skills. Adversarial senior-engineer review for agent-generated plans, designs, and architectures. Treats the current output as junior work, constructs a senior reviewer whose domain expertise comes from live codebase research plus web research of current best practices, diagnoses altitude failures (too vague or too granular), then rewrites the plan into a scoped, state-of-the-art version. Use when the user says "junior to senior", "senior review", "review this like a staff engineer", when a plan feels hand-wavy or lost…

Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/research-playbook.md` and `references/review-rubric.md`).

It sits in Research & Science, covering Literature review. The licence is MIT.

When your agent uses it

  • The user says junior to senior
  • Review this like a staff engineer
  • A plan feels hand-wavy
  • Lost in details

Example prompts

  • “junior to senior”
  • “senior review”
  • “review this like a staff engineer”
  • “/junior-to-senior”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Capture the junior artifact
  2. Construct the senior
  3. Diagnose the altitude
  4. Adversarial review
  5. Promote the plan

What it can do on your machine

Read from SKILL.md and the folder at commit 8470b26. 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

Junior To Senior loads about 2.3k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 148 tokens; SKILL.md has 1,205 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~148
When it runs · the whole SKILL.md, loaded when a task matches
~2.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.9k

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 JuliusBrussee/skills at commit 8470b26, republished under its MIT licence (© JuliusBrussee). 1,205 words, ~2,266 tokens.

Download SKILL.mdSave it as .claude/skills/junior-to-senior/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
junior-to-senior
description
Adversarial senior-engineer review for agent-generated plans, designs, and architectures. Treats the current output as junior work, constructs a senior reviewer whose domain expertise comes from live codebase research plus web research of current best practices, diagnoses altitude failures (too vague or too granular), then rewrites the plan into a scoped, state-of-the-art version. Use when the user says "junior to senior", "senior review", "review this like a staff engineer", when a plan feels hand-wavy or lost in details, or before committing to any agent-written plan.

Junior to Senior

Assume the plan in front of you was written by a capable junior: fluent, confident, and trained on the past. Build a senior reviewer that is grounded in two things the junior was not — this codebase as it actually exists and the state of the art as it exists today — and let the senior tear the plan down and rebuild it.

This skill exists because agent-generated plans fail at two altitudes:

  • Fog — the plan describes the high level fine ("add caching", "handle auth", "make it scalable") but never commits on the hard parts. No interfaces, no data shapes, no failure handling, no named libraries. An engineer reading it still has to make every real decision themselves.
  • Tunnel — the plan dives into function signatures and file diffs but has no product vision. No statement of who this is for, what success means, what is out of scope, or why this approach beats the boring alternative. It optimizes a local detail while the shape of the feature is still wrong.

Both are altitude failures. The senior's job is to drag the plan to the right altitude and upgrade its substance past the model's training cutoff.

The cardinal rule

Every senior finding needs evidence. A claim about the codebase cites a file and line. A claim about best practice cites a fetched source — official docs, release notes, an RFC, a postmortem — with a date. If web research is unavailable, the finding is labeled [training-data, unverified] so stale knowledge is never laundered as current truth. A senior who argues from vibes is just a louder junior.

Phase 0: Capture the junior artifact

Identify exactly what is under review:

  • A plan the agent just produced in this conversation (the default — including your own output from a moment ago).
  • A pasted plan, design doc, RFC, or issue description.
  • A planning document in the repo the user points at.

Freeze it. Quote or restate the artifact in full before reviewing so the review targets a fixed text, not a moving memory of it. If there is no artifact yet, say so and offer to either generate the junior draft first or review the user's existing idea — do not review thin air.

Phase 1: Construct the senior

The senior is not a tone of voice. It is a reviewer profile built from research done now. Skipping this phase and going straight to critique produces generic review slop.

1a. Extract the domains

List the 2-5 load-bearing technical domains the plan touches (e.g., "Postgres schema migration", "React server components", "OAuth token refresh", "vector search at 10M rows"). For each, write one sentence on what a staff-level engineer in that domain would refuse to let slide. This list drives all research that follows.

1b. Code research — what is true here

Investigate the repository before judging the plan against it:

  • Existing conventions and architecture the plan must fit (or explicitly break, with justification).
  • Actual versions in lockfiles/manifests — a plan recommending an API that the pinned version doesn't have is a blocker.
  • Prior art: similar features already in the codebase, ADRs, migrations, test patterns.
  • Real constraints the junior plan ignored: build system, deploy targets, performance budgets, existing data.

Use a subagent (e.g. Explore) for broad sweeps so the review context stays clean.

1c. Web research — what is true now

For each load-bearing decision in the plan, search for the current state of the art. The junior's knowledge ends at a training cutoff; the senior's must not. Prioritize primary sources (official docs, changelogs, release notes, maintainer posts) and check dates. You are looking for three kinds of delta:

  • Deprecations — the plan's approach is now discouraged or removed.
  • Supersessions — a newer pattern/library/API has clearly won since the cutoff.
  • Hard-won lessons — published postmortems, benchmarks, or security advisories that change the tradeoff.

Query patterns, source-quality ranking, and when to stop are in references/research-playbook.md. If web access is unavailable, proceed on code research alone and mark every best-practice claim [training-data, unverified].

1d. Isolation

When the harness supports subagents, run the senior review in a context-isolated subagent that receives the frozen artifact and the research findings but not the reasoning that produced the junior plan. Self-review in the same context anchors on its own justifications; isolation is what makes the review adversarial rather than confirmatory.

Show full SKILL.md (496 more words)Show less

Phase 2: Diagnose the altitude

Before line-by-line critique, classify the artifact: fog, tunnel, or mixed (most real plans fog the hard parts and tunnel on the easy ones — flag each section separately).

Fog test — for every component the plan names, can a competent engineer start tomorrow without making a product or architecture decision themselves? Tunnel test — does the plan state who this is for, what success looks like, what is explicitly out of scope, and why this approach beat the obvious alternative?

The full diagnostic checklists, the vague-word blacklist ("simple", "scalable", "handle gracefully", "robust", ...), and severity definitions are in references/review-rubric.md.

Phase 3: Adversarial review

The senior reviews the frozen artifact against three lenses: codebase reality (1b), current state of the art (1c), and altitude (Phase 2). Rules of engagement:

  • Every vague phrase gets challenged with the concrete question it is hiding from.
  • Every named technology gets a version and a reason; every unnamed one ("a queue", "some cache") gets named or the choice gets flagged as an open decision.
  • Every data shape that crosses a boundary gets written down.
  • Every plan gets asked: what is the rollback, what is the migration, what breaks at 10x.
  • Steelman before attacking: state the strongest version of the junior's choice, then show why it still loses (or concede that it wins — agreeing with the junior when the evidence supports it is a valid senior outcome, not a failure of the skill).

Findings use three severities — blocker (plan fails as written), major (works but meaningfully worse than SOTA or misfit to the repo), minor (polish) — each with evidence and a concrete fix. Definitions and examples: references/review-rubric.md.

Phase 4: Promote the plan

Critique without a rewrite is just complaining. Produce the senior version of the plan with this shape:

  1. Goal and non-goals — one paragraph of product intent; explicit out-of-scope list.
  2. Decisions — each load-bearing choice with the chosen option, version, rationale, the strongest rejected alternative, and the evidence (file ref or source link).
  3. Design at the right altitude — interfaces, data shapes, and failure handling for the hard parts; deliberately coarse strokes for the routine parts.
  4. Sequencing — milestones with an observable verification step each ("done" must be checkable, not vibes).
  5. Risks and rollback — what is hardest to undo and the escape hatch.
  6. Open questions for a human — product decisions the senior is not allowed to invent. Scoping is the senior's job; product direction is not.

Output format

Deliver two artifacts, review first:

markdown
## Senior Review

**Altitude diagnosis:** fog | tunnel | mixed — one-sentence justification.

### Blockers
- [B1] Finding — evidence (file:line or source+date) — fix.

### Major
- [M1] ...

### Minor
- [m1] ...

### What the junior got right
- Credit where due; preserved in the rewrite.

## Promoted Plan (v2)
[Phase 4 structure]

## Delta summary
- 3-6 bullets: what changed from junior to senior and why.

## Open questions for you
- Product decisions that need a human.

Boundaries

  • The senior scopes and upgrades; it does not invent product direction. Genuine product choices go to "Open questions", not into the rewrite.
  • Never silently replace the junior plan — the user sees the review, the rewrite, and the delta, and decides.
  • If research contradicts the user's stated preference, present the evidence and defer; the user may have context the senior lacks.
  • A review with zero blockers and zero majors is a legitimate result. Say "this plan holds" and stop — do not manufacture findings to look rigorous.

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

Files

SKILL.md and 2 other files (references) in skills/junior-to-senior of JuliusBrussee/skills.

  • SKILL.md
  • references/research-playbook.md
  • references/review-rubric.md

Open the folder on GitHubat commit 8470b26

Compare with similar skills

Junior To Senior 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.

Junior To Senior compared with similar skills
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Systematic Review ScreenerImbad0202/academic-research-skills51k—~8.4kAutomated safety check: PassCustom licence
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Preprint Search on bioRxivLigphiDonk/Oh-my--paper73912 repos~3.7kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence

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Questions about Junior To Senior

What does Junior To Senior do?

Adversarial senior-engineer review for agent-generated plans, designs, and architectures. Junior To Senior is an agent skill from JuliusBrussee/skills. Adversarial senior-engineer review for agent-generated plans, designs, and architectures.

When should I use Junior To Senior?

Junior To Senior fits situations like: the user says junior to senior; review this like a staff engineer; A plan feels hand-wavy; lost in details.

How do I install Junior To Senior in Claude Code?

Run `npx skills add JuliusBrussee/skills --skill junior-to-senior -a claude-code`. Or copy the skill folder (skills/junior-to-senior in JuliusBrussee/skills) into .claude/skills/junior-to-senior in your project. Claude Code loads it when a task matches its description.

How do I install Junior To Senior in Codex?

Run `npx skills add JuliusBrussee/skills --skill junior-to-senior -a codex`. Or copy the skill folder (skills/junior-to-senior in JuliusBrussee/skills) into .agents/skills/junior-to-senior in your project. Codex loads it when a task matches its description.

Can I use Junior To Senior 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 JuliusBrussee/skills --skill junior-to-senior -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/junior-to-senior, .gemini/skills/junior-to-senior, .github/skills/junior-to-senior and .opencode/skills/junior-to-senior in your project.

What does Junior To Senior need to run?

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

Does Junior To Senior 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 Junior To Senior 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 Junior To Senior use?

Junior To Senior 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 Junior To Senior use?

About 2.3k tokens (SKILL.md is roughly 9.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.

What are the alternatives to Junior To Senior?

Skills that share tags, products or a category with Junior To Senior: Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars) and Preprint Search on bioRxiv (LigphiDonk/Oh-my--paper, 739 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Junior To Senior?

JuliusBrussee (a GitHub user) maintains it in JuliusBrussee/skills, which has 162 GitHub stars. The repository holds 6 skills in this directory. The repository was last updated on August 7, 2026.

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