remember

Solid

Capture friction as methodology notes. Three modes — explicit description, contextual (review recent corrections), session mining (scan transcripts for patterns). Triggers on "/remember", "/remember [description]".

Data & Documents 3,381 stars 218 forks Updated 3 months ago MIT

Install

View on GitHub

Quality Score: 89/100

Stars 20%
100
Recency 20%
50
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

## Runtime Configuration (Step 0 — before any processing) Read these files to configure domain-specific behavior: 1. **`ops/derivation-manifest.md`** — vocabulary mapping, domain context - Use `vocabulary.notes` for the notes folder name - Use `vocabulary.note` for the note type name in output - Use `vocabulary.rethink` for rethink command name in threshold alerts - Use `vocabulary.topic_map` for MOC references 2. **`ops/config.yaml`** — thresholds - `self_evolution.observation_threshold` (default: 10) — for threshold alerts - `self_evolution.tension_threshold` (default: 5) — for threshold alerts 3. **`ops/methodology/`** — read existing methodology notes before creating new ones (prevents duplicates) If these files don't exist (pre-init invocation or standalone use), use universal defaults. ## EXECUTE NOW **Target: $ARGUMENTS** Parse immediately: - If target contains a quoted description or unquoted text: **explicit mode** — user describes friction directly - If target is empty: **contextual mode** — review recent conversation for corrections - If target contains `--mine-sessions` or `--mine`: **session mining mode** — scan ops/sessions/ for patterns **START NOW.** Reference below defines the three modes. --- ## Explicit Mode User provides a description: `/remember "don't process personal notes like research"` or `/remember always check for duplicates before creating` ### Step 1: Parse the Friction Analyze the user's description to extract: - ...

Details

Author
agenticnotetaking
Repository
agenticnotetaking/arscontexta
Created
3 months ago
Last Updated
3 months ago
Language
Shell
License
MIT

Similar Skills

Semantically similar based on skill content — not just same category

AI & Automation Solid

friction-detector

Detect friction signals; graduate patterns into rules. Use for session retrospectives.

297 Updated today
athola
Data & Documents Solid

reduce

Extract structured knowledge from source material. Comprehensive extraction is the default — every insight that serves the domain gets extracted. For domain-relevant sources, skip rate must be below 10%. Zero extraction from a domain-relevant source is a BUG. Triggers on "/reduce", "/reduce [file]", "extract insights", "mine this", "process this".

3,381 Updated 3 months ago
agenticnotetaking
Data & Documents Listed

remember

Save the current work session to persistent memory for future context. Summarizes accomplishments, tracks files modified, and stores learnings for cross-session continuity.

1 Updated today
ZAKZOUK406
Data & Documents Solid

reflect

Find connections between notes and update MOCs. Requires semantic judgment to identify genuine relationships. Use after /reduce creates notes, when exploring connections, or when a topic needs synthesis. Triggers on "/reflect", "/reflect [note]", "find connections", "update MOCs", "connect these notes".

3,381 Updated 3 months ago
agenticnotetaking
Data & Documents Listed

persistent-memory

Persists context across conversations as plain markdown so every future session can enrich a topic-scoped memory (e.g. `parenting`, `relationship-anna`, `work-history`, `project-acme`). Four operations: `write` (extract candidates, resolve as ADD / UPDATE / DELETE / NOOP per Mem0), `read` (load a ≤ 200-line INDEX; fetch detail entries on demand per Claude Code's MEMORY.md pattern), `consolidate` (sleep-style merge + prune), `forget` (delete or redact with audit). Three storage tiers: home (`~/.agent-memory/<scope>/`, default), project-local (gitignored), project-shared (committed). Strict never-store list (passwords, API keys, JWTs, credit cards, SSNs, private keys); mandatory consent preview before write. Documents scaling from markdown → SQLite FTS → vector DB → managed memory (Mem0 / Letta / Zep). Triggers on "remember this", "save to memory", "recall memory", "load memory", "what do you remember about", "consolidate memory", "forget that", "/persistent-memory".

4 Updated 2 days ago
mthines