plugins/knowledge-and-memory/skills/session-memory/SKILL.md
Maintains a structured running-notes document during long work sessions. Use when the user says "session notes", "update notes", "start session notes", "show session notes", or when you recognize the current session has accumulated enough state (decisions, corrections, files touched, errors) that it risks being lost under context pressure. Stores notes as a procedure memory tagged [session-memory, active] so they survive container death within the same session thread.
npx skillsauth add oaustegard/claude-skills session-memoryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Maintain a single structured markdown document that tracks what is happening
right now in the current work session. This is within-session continuity,
distinct from remember() (cross-session semantic memory) and stash
(coarse checkpoint).
Invoke on any of these triggers:
Do NOT invoke for:
remember()stashEvery session note uses exactly these sections, in this order, with these
headers. Preserve the structure on every update. Never rename or reorder
sections. Update the content within sections; leave empty sections present
with a single _(nothing yet)_ placeholder.
# Session: {short title, 3-8 words, derived from the initial task}
## Current State
_What is actively being worked on right now. Explicit next step._
## Task Specification
_What the user originally asked for. Constraints, acceptance criteria,
design decisions that framed the work._
## Files and Functions
_Important paths touched or referenced, one per line, with a one-line
note on what they contain and why they matter._
## Errors & Corrections
_Errors encountered and how they were fixed. User corrections to my
approach — these have priority over routine progress entries._
## Key Decisions
_Choices made during the session with their rationale. One bullet per
decision. Lead with the choice, then the why._
## Worklog
_Terse, append-only, chronological. One line per attempt or step.
Prefix with ✓ (done), ✗ (failed), → (in progress), or ↺ (reverted)._
Persist as a procedure memory via the remembering skill, so notes
survive container death within the session thread.
from remembering.scripts import remember, recall, supersede
# First write in a session: create the memory
note_id = remember(
note_markdown,
"procedure",
tags=["session-memory", "active"],
priority=1,
)
# Subsequent updates: find the active note and supersede it
existing = recall(tags_all=["session-memory", "active"], n=1)
if existing:
note_id = supersede(existing[0].id, updated_markdown, "procedure",
tags=["session-memory", "active"], priority=1)
Session boundary: when the user says "session done", "wrap up",
"end session", or the conversation is clearly winding down, retag the
active note from active to archived by superseding it with the same
body and tags=["session-memory", "archived"].
One note is active at a time. If recall(tags_all=["session-memory", "active"]) returns more than one, the oldest is stale — archive it before
updating the current one.
On each invocation:
recall(tags_all=["session-memory", "active"], n=1). Work from its current body — do not regenerate from
scratch.## Worklog.
Do not drop prior content unless it is now wrong (then move the correction
to ## Errors & Corrections).## Errors & Corrections before other updates.remember() call, reference it by ID rather
than restating. Notes are supplementary, not duplicative.supersede(). This keeps exactly one active note per session.Target ~12K tokens for the note document. Prefer concise phrasing, but do
not truncate substantive content to hit the target — trigger
## Key Decisions consolidation (collapse related bullets) before cutting.
If the document exceeds ~20K tokens, compress ## Worklog first (merge
consecutive ✓ entries into a single summary line, keep corrections and
decisions intact).
Rationale: we run on 200K–1M context models, so the original 2K budget from the issue spec was over-constrained. 12K matches Claude Code's upstream design and leaves ample room for the surrounding conversation.
When the user asks to "show session notes", print the current note body verbatim in a fenced code block. Do not paraphrase.
When updating silently (you triggered it yourself), confirm with a single
line: Updated session notes (note id: <short-id>). Do not dump the full
body unsolicited.
session-memory + active memory exists per session. Stale
actives are archived, not left dangling.remembering — cross-session memory store (where these notes persist)development
Write effective instructions for Claude: project instructions, standalone prompts, and skill content. Use when users need help writing prompts, setting up project instructions, choosing between instruction formats, or improving how they communicate with Claude. Covers writing principles, model-aware calibration, and format selection. For building and testing complete skills, use skill-creator instead.
data-ai
Discover and load skills on demand from /mnt/skills/user/. Use when you need a capability but don't know which skill provides it, when the boot-emitted skill list is names-only and you need a full description, or when you want to list the catalog. Verbs are list (names only), search (rank by name/description match against a query), and show (emit the full SKILL.md for a named skill).
documentation
Reads the visual content of slides, pages, and images the way a human would, not just their embedded text. Use when a PPTX or PDF has image slides, screenshots, charts, scanned figures, or flattened-to-image layouts that the built-in pptx/pdf skills read as empty; when asked to transcribe, describe, OCR, or extract what is shown in an image, slide deck, or document page; or when embedded-text extraction returned little or nothing from a visually rich file. Triggers on 'read this deck', 'what's on these slides', 'transcribe', 'OCR', 'extract text from image', 'describe this chart/diagram', .pptx/.pdf/.png/.jpg with visual content.
development
Portrait Mode for SVGs — foveated vectorization with 4-zone selective detail. Combines vision annotations, MediaPipe segmentation/landmarks, and optional saliency. Like phone portrait mode, but vectorized. Use when vectorizing a portrait or photo where subject detail should outrank background detail.