session-learn
SolidUse when a completed work session should yield durable concepts, corrections, decisions, reusable patterns, and a traceable next action.
AI & Automation 123 stars
18 forks Updated 3 days ago MIT
Install
Quality Score: 83/100
Stars 20%
Recency 20%
Frontmatter 20%
Documentation 15%
Issue Health 10%
License 10%
Description 5%
Skill Content
# Session Learn
<skill_contract>
<input>Completed session objective, actions, artifacts, verification receipts, errors, decisions, and destination paths.</input>
<output>Deduplicated durable deltas for concepts, entities, corrections, patterns, ideas, decisions, and gaps.</output>
<done>Each retained delta is formatted, linked, logged, provenance-preserving, and paired with a traceable next action when unresolved.</done>
<non_goals>Automatic-capture claims without a hook, raw transcript storage, conversational filler, or immutable-source edits.</non_goals>
Close a session by extracting only reusable deltas. Invocation must be explicit or performed by a verified external hook; this skill never claims it ran automatically.
## Usage Template
Provide: session objective, actions, outputs, verification receipts, errors, decisions, and destination paths. Optional: existing notes for deduplication.
## Workflow
<intake>
Establish the session boundary and compare intended versus observed result. Ignore conversational filler and separate execution evidence from retrospective interpretation.
</intake>
<unknowns_gate>
If the session outcome or evidence is unavailable, return `INSUFFICIENT_EVIDENCE`. Ask for a missing artifact only when it determines whether a lesson is valid; otherwise preserve it as an unresolved gap.
</unknowns_gate>
<execute>
Scan for seven signal types:
1. **Concept** — a stable mechanism worth linking.
2. **Entity** — a person, system, project, ...
Details
- Author
- Mark393295827
- Repository
- Mark393295827/third-brain-v5-skills
- Created
- 2 months ago
- Last Updated
- 3 days ago
- Language
- HTML
- License
- MIT
Related Skills
AI & Automation Featured
code-simplifier
Review RTK Rust code for idiomatic simplification. Detects over-engineering, unnecessary allocations, verbose patterns. Applies Rust idioms without changing behavior.
73,603 Updated today
rtk-ai AI & Automation Featured
design-patterns
Rust design patterns for RTK. Newtype, Builder, RAII, Trait Objects, State Machine. Applied to CLI filter modules. Use when designing new modules or refactoring existing ones.
73,603 Updated today
rtk-ai AI & Automation Featured
issue-triage
Issue triage: audit open issues, categorize, detect duplicates, cross-ref PRs, risk assessment, post comments. Args: "all" for deep analysis of all, issue numbers to focus (e.g. "42 57"), "en"/"fr" for language, no arg = audit only in French.
73,603 Updated today
rtk-ai