Rseng Lessons Learned

Lessons learned and project memory

Every project pays tuition - the bug that took three days, the approach that silently failed, the review comment made for the fourth time. The tuition is only wasted if the lesson evaporates. This skill is the capture mechanism: write the lesson down at the moment it is learned, in the repository, and then - the step most teams skip - route it into an artifact that makes repetition impossible. A lessons file nobody acts on is a diary; a lesson that became a test is institutional memory.

Capture at the trigger moments

The lesson is freshest and cheapest at the moment of resolution. Capture proactively - offer, in one line, to record it - when:

• A nontrivial bug is fixed: what the symptom was, what the cause

turned out to be, what evidence found it, what would have prevented it (rseng-debugging's evidence trail is the draft).

• A code review surfaces a recurring pattern: the third time the

same class of comment appears, it is a lesson (and a candidate lint rule or checklist line - rseng-pair-programming).

• A research approach is abandoned: WHY it lost - data, method,

numerics, scaling - so the next person (or the same person, next year) does not re-walk the dead end. Negative results are project knowledge (rseng-software-reuse records reuse decisions the same way).

• An incident or near-miss resolves: data almost lost, wrong

results almost published, credential exposed - these get the fuller postmortem below.

• Something WORKED surprisingly well: lessons are not only

failures; a practice worth repeating is worth recording.

The record: small, structured, in the repo

• One file, versioned with the code (LESSONS.md or docs/lessons/):

dated entries, newest first; each entry a few lines - context, what happened, the lesson, and the action taken. Searchability beats elegance; write plainly.

• Tag entries by theme (numerics, data handling, process,

dependency...) so patterns become visible when three entries share a tag - a themed cluster is a systemic issue asking for a systemic fix.

• Personal research notes scale down the same way: a dated

notebook of decisions and observations per analysis (rseng-notebooks' narrative side) - the lab-notebook habit applied to computation.

• Keep it honest and blame-free in wording: lessons name causes

and defenses, never culprits - a record people fear lands in performance reviews stops being written (rseng-honesty's blame-free framing; rseng-ai-declaration records agent-contributed lessons like any other).

Postmortems and retrospectives

• Blameless postmortem for the big ones (the SRE practice

transfers whole): timeline of what happened, contributing causes (plural - single-cause stories are usually wrong), what limited or worsened the impact, and concrete prevention actions WITH owners in the tracker (rseng-project-tracking). Blameless is the load-bearing word: the goal is that the next person in the same position, with the same information, does better - not that someone is sorry.

• Retrospectives on a cadence: at milestones or each planning

cycle, three questions - keep doing, stop doing, start doing - fed by the lessons file since last time (structured formats and exercises exist when a team wants variety). Fifteen minutes is enough; skipping it is how the lessons file goes stale.

Route the lesson into an artifact

The closing discipline - every lesson ends with "and therefore", picking the artifact that prevents repetition:

• A bug lesson becomes a regression test (rseng-testing) or a

defensive check (rseng-defensive-coding).

• A review-pattern lesson becomes a lint rule (rseng-code-quality),

a checklist line, or a PR-template question.

• A process lesson becomes a tracker template or a cadence change

(rseng-project-tracking).

• A gotcha lesson becomes a documentation warning

(rseng-documentation) or an onboarding note - the future colleague reads the lesson where they will hit the problem, not in an archive.

• A dead-end lesson becomes a paragraph in the methods notes or

the decision log, so the paper and the successors know what was tried (rseng-research-integrity values the recorded negative).

An agent applying this skill closes the loop in one motion: record the lesson AND draft the artifact, then offer both.

Working with this skill

This skill is source-independent: it adapts blameless-postmortem and retrospective practice to research software work. It is fed by rseng-debugging, rseng-pair-programming and rseng-project-tracking, and it feeds rseng-testing, rseng-documentation and rseng-trainer (lessons are tomorrow's teaching material).

Learn more (verified):

• https://sre.google/sre-book/postmortem-culture/ - blameless

postmortem culture (Google SRE book)

• https://retromat.org - retrospective formats

Recorded lessons are raw material for the project's build story (rseng-trainer): the mistakes worth learning from belong in the teaching document, not only the log.

Related skills

Check whether any of these applies before moving on:

• rseng-code-quality - review-pattern lessons become lint rules
• rseng-debugging - bug fix evidence drafts the lesson
• rseng-documentation - gotcha lessons become doc warnings
• rseng-project-tracking - postmortem actions get tracked owners
• rseng-testing - bug lessons become regression tests
• rseng-trainer - lessons become tomorrow's teaching material

Source & license

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

• Author: fdiblen
• Source: fdiblen/rseng-agent-skills
• License: MIT

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