Agent skill · writing content · borghei
reflect
Turn reflection into decisions by scoring predictions against outcomes and tracking whether commitments held. Use when running a quarterly review, scoring forecast calibration, or reflection keeps producing notes instead of change.
Why this skill is useful
Adds a Python script for scoring prediction calibration that provides structured reflection and measurable outcomes.
What it needs
Requires python3 installed locally. About 8k tokens when loaded. Last updated 2026-07-21. 462 stars on the source repository.
What this skill does
Reflect Structured reflection at daily, weekly, and quarterly cadence that ends in a changed behaviour rather than a paragraph of feelings. The mechanism is testing recorded beliefs against outcomes: written predictions scored for calibration, and commitments tracked for whether they actually held. Boundary with weekly-review: that skill runs the weekly operating cadence — what happened, what is next, priorities and blockers. This one is the learning layer on top: was my judgement any good across weeks and quarters, and what should change as a result. Run them back to back, operating review first, using its output as this skill's raw material. Do not duplicate the wins/blockers synthesis here. When to use this skill Your reviews produce pleasant notes but nothing ever changes as a result You want to know whether to trust your own confidence when making a call Delivery dates keep slipping and you suspect the estimates, not the execution The same commitment has been carried for months without progress or a decision It is quarter end and you need to score judgement, not just report outcomes You are starting a prediction log and want a scoring method rather than a journal Inputs the skill expects A prediction log — statement, confidence, and outcome once resolved A commitment log — text, status (kept/missed/partial/open), optional due and carriedcycles The cadence you are running: daily, weekly, or quarterly A reference date for overdue calculations (passed explicitly — the tools never read the clock) Optionally a domain per prediction, which is where the most actionable signal appears Clarify First Before generating, confirm these inputs. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills borghei/reflect