riekelt/principal-engineer

principal-engineering

Use when doing any non-trivial engineering work - implementing, debugging, refactoring, configuring, operating, or investigating why a system misbehaves - or any change where being wrong has a cost.

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Principal engineering

Overview

This level rests on checking what the system actually does rather than recalling a pattern for it. Ground every decision in the real code and data, fail loud, keep one home per fact, and never claim done without the verification that proves it.

Sibling skills carry the depth: grounding-before-coding, handling-failures, keeping-one-source-of-truth, verifying-before-done, operating-safely, scoping-changes, testing-changes, writing-unit-tests, guarding-architecture, adding-dependencies. Load the matching one on top of this.

When to invoke

The task isAlso load
Starting a change, a debug, or work in unfamiliar codegrounding-before-coding
Writing or touching any error path, fallback, or defaulthandling-failures
Adding data, config, state, or a second copy of anythingkeeping-one-source-of-truth
Claiming "done", "fixed", or "passing"verifying-before-done
Deleting, overwriting, restarting, or touching secrets or live systemsoperating-safely
Deciding how big a fix should be, or noticing scope move mid-taskscoping-changes
Deciding what tests a change owes, or facing an empty test difftesting-changes
Writing or fixing a unit test, or taming a flaky or unreadable onewriting-unit-tests
Crossing module boundaries or touching stated principlesguarding-architecture
Adding, updating, vetting, or removing a package, library, or base imageadding-dependencies

Writing the documents around the work (specs, decisions, changelogs, runbooks, postmortems, issues) is the technical-writer plugin's job where installed; these skills govern the engineering itself and defer to those for the prose.

Scope limits

  • It is not a style guide: formatting, naming taste, and framework choice belong to the repository's own conventions, which win.
  • It does not replace project instructions: CLAUDE.md and repository rules outrank everything here.
  • It does not make product decisions: what to build comes from the owner; this governs how built things stay true and safe.

Mandatory checkpoint before a non-trivial change

Before writing the first line, state in working notes:

Grounded: <what you read or ran to know the current behavior> | Blast radius: <what this change touches> | Invariants: <what must not break> | Verify: <the command that will prove it worked>

Fill it from the code and data, not from memory or plausibility. A field you cannot fill is the work you do first.

Hard rules

Non-negotiable, in every repository:

  • No silent error swallows. Every catch and failure path logs and rethrows, returns a typed failure the caller must handle, or enters an explicitly documented degraded mode. A new silent swallow is an automatic review BLOCKER. See handling-failures.
  • An applied migration is immutable history. Schema corrections are new additive migrations, never edits to an applied one.
  • Never claim verified without naming what was checked. A "done" claim names the command and its result, quotes the output of every failing test, and names every skipped step. See verifying-before-done.
  • Secret values are never read, printed, or decrypted to disk. Names and structural checks only; an auth failure means pause, never bypass.
  • Destructive operations need eyes first. Look at the target before deleting or overwriting; ask before restarting or killing live services; prefer targeted operations over bulk ones.
  • Evidence beats theory. Profile, query, and read before concluding; a signal that pattern-matches a known failure may have a different cause, so check that the evidence supports the specific action, not the familiar one.

Risk tiers set the rigor

Not all changes deserve the same rigor. The rules hold at every tier; the tier sets how much proof they demand. What sits in the top tier is the project's to declare: money paths in one system, the sales pipeline in another, stored user data, a medical record, a safety gate, an irreversible migration. The project's rules or CLAUDE.md name its top-tier paths; when they do not, ask what the system must never get wrong, and treat the answer as the declaration.

Top-tier work gets maximum rigor: invariant tests, independent verification, and the full checkpoint taken literally. Ordinary paths get standard rigor. Tooling and throwaway work still obey the hard rules (a silent swallow in a script still hides failures) but earn no gold-plating. State the tier when it is not obvious; the expensive mistake is running top-tier work at tooling rigor, and the wasteful one is the reverse.

The rule lifecycle

When something bites twice, it becomes a written rule with its provenance (what happened, when, how to avoid it); once is learning. A rule that keeps triggering gets sharpened; a rule whose underlying cause is fixed gets retired. Recording the incident behind each rule is what stops rules from being cargo-culted or wrongly deleted later.

Common mistakes

  • Acting on a document's claim about the system instead of the system. Doc status goes stale fast; the code and the history are the record.
  • Fixing the symptom that pattern-matched instead of the cause the evidence shows.
  • Treating "the tests are green" as "the change works". A green suite over code that cannot work means the suite does not run or does not test.
  • Leaving a duplicate untouched in code you are changing. A duplicate in code you touch gets absorbed as part of the work; one you merely noticed elsewhere gets surfaced and tracked, not silently fixed and not silently left. See keeping-one-source-of-truth.
  • Growing a fix past its trigger because improvements were adjacent. See scoping-changes.
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adding-dependencies

Use when about to add, update, vet, or remove a dependency - a package, library, SDK, GitHub action, base image, or vendored code - or when a project's dependency posture needs declaring. Encodes the exhaust-what-you-have ladder, the vetting questions, and pin-and-prove updating. Use even for a tiny utility package: that is exactly how the tree grows.

installs
401
GitHub stars
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grounding-before-coding

Use when starting any non-trivial change, investigating a bug, or working in unfamiliar code - before the first line is written. Also use for pure investigation with no change planned yet - \"dig into this\", \"figure out why\", \"sometimes the export is empty\", intermittent errors after a deploy. Encodes the ground-first discipline: map the real code and data, quote evidence, never guess conventions. Use whenever a change or a conclusion is about to be built from belief instead of from the tree, even under time pressure.

installs
401
GitHub stars
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guarding-architecture

Use when a change crosses module boundaries, adds a dependency direction between modules, touches a critical path, or conflicts with a stated principle - and when writing or updating architecture principles themselves. Encodes structural invariants as named, enforced contracts: statement, rationale, guard. Use whenever \"we'll just import it from there for now\" appears, which is how boundaries die.

installs
401
GitHub stars
1
Updated
8月30日
riekelt
Community

handling-failures

Use when writing or touching any error path, catch block, fallback, default value, retry, or degraded mode - in any language, any repo. Encodes the no-silent-swallows contract and the fail-loud discipline. Use whenever an exception is about to be caught, a null is about to get a default, or a failure could pass unnoticed, even if the goal is "just make it not crash".

installs
401
GitHub stars
1
Updated
8月30日