decision-log-formatter

Format and create research Decision Log notes with required frontmatter and sections.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/xingchen2202/obsidian-ai-knowledge-system --skill decision-log-formatter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: decision-log-formatter
Source: https://github.com/xingchen2202/obsidian-ai-knowledge-system/tree/main/skills/decision-log-formatter
Command: npx skills add https://github.com/xingchen2202/obsidian-ai-knowledge-system --skill decision-log-formatter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents research decisions from becoming hard to trace, non-reproducible, or missing stop-loss criteria by enforcing a structured Decision Log format with evidence, milestones, and kill rules.

Core Features & Use Cases

  • Two modes (format + create): Validates and repairs existing Decision Log frontmatter/body, or generates a complete Decision Log from a one-sentence decision prompt.
  • Decision traceability by design: Forces required fields plus a concrete evidence chain that must reference verifiable sources (e.g., LIT-xxxx, EXP-xxxx, meeting IDs, or DOIs).
  • Falsification-driven risk control: Requires a weighted decision matrix, measurable milestone table, explicit Kill Criteria with observable thresholds and physical/experimental justification, plus trigger actions.
  • Lifecycle and stakeholder alignment: Maintains append-only decision lifecycle logs and generates/validates a stakeholder communication table, and checks for dangling references.

Quick Start

Tell the AI: format my existing Decision Log note (Decision Log) and ensure it includes the weighted decision matrix, evidence chain, milestones, Kill Criteria with trigger actions, resurrection conditions, stakeholder table, and lifecycle log.

Frequently Asked Questions about decision-log-formatter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create a research decision log with kill criteria in Obsidian?

To create a research decision log in Obsidian, use the create mode to generate a complete note from a one-sentence prompt, enforcing required frontmatter, a weighted decision matrix, evidence chain, and explicit Kill Criteria with trigger actions.

What is a weighted decision matrix for falsifiable research governance?

A weighted decision matrix for research governance is a structured table enforcing 100% weighting across criteria, ensuring decisions remain measurable, traceable, and falsification-safe by requiring concrete evidence IDs.

How do I format an existing decision log note to include evidence and milestones?

To format an existing decision log note, use the format mode to validate and repair frontmatter, generating missing sections like time-bound measurable milestones, resurrection conditions, stakeholder tables, and append-only lifecycle logs.

Can I use Obsidian SP-STM workflows to track abandoned research directions?

Yes, you can use Obsidian SP-STM workflows to track abandoned research directions by recording choices to reject or abandon experiments, enforcing observable Kill Criteria thresholds and mandatory trigger actions for falsification safety.

What happens if my decision log evidence chain has missing source IDs?

Decision log evidence chains with missing source IDs are caught during validation, as the format mode checks for dangling references and requires concrete sources like LIT-xxxx, EXP-xxxx, meeting IDs, or DOIs.

When do I need resurrection conditions in a research decision log?

Resurrection conditions in a research decision log are needed when defining lifecycle states for abandoned directions, ensuring decisions remain auditable and allowing previously killed research to resume under defined trigger actions.