session-memory

Included with Lifetime

$97 forever

Mandatory memory persistence system across session resets using three markdown surfaces in .claude/cc10x/. Iron law - every workflow must load at start and update at end.

Writing & Docs

What this skill does


# Session Memory

## Overview

Persistent memory system that survives Claude Code's message compaction. Uses three markdown files in `.claude/cc10x/` as a permission-free database for continuity, consistency, and pattern compounding.

## Memory Surfaces

1. **activeContext.md** -- Current focus, decisions, learnings, next steps, blockers
2. **patterns.md** -- Project conventions, architecture decisions, common gotchas, reusable solutions
3. **progress.md** -- Task completion tracking with verification evidence

## Iron Law

EVERY WORKFLOW MUST:
1. LOAD memory at START (and before key decisions)
2. UPDATE memory at END (and after learnings/decisions)

## Stable Edit Anchors

Safe section headers for Edit operations:
- activeContext: `## Recent Changes`, `## Learnings`, `## References`
- patterns: `## Common Gotchas`, `## Project SKILL_HINTS`
- progress: `## Completed`, `## Verification`

## Read-Edit-Verify Pattern

1. Read file
2. Verify anchor exists
3. Edit with exact `old_string`
4. Read back to confirm

## Tool Rules

- Use `Write()` for NEW files (permission-free)
- Use `Edit()` for EXISTING files (permission-free)
- Never use `Write()` to overwrite existing files
- Never compound commands (`mkdir && cat`)

## When to Use

- At the start of every CC10X workflow (load)
- At the end of every CC10X workflow (update)
- Before making key decisions (check patterns)
- After discovering learnings or gotchas (persist)

## Agents Used

All CC10X agents use this skill. The cc10x-router manages load/update lifecycle.

Files: 2

Size: 2.2 KB

Complexity: 12/100

Category: Writing & Docs

Source: https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cc10x/skills/session-memory

Related in Writing & Docs

jax-development

Included

Use this skill when the user is writing, debugging, profiling, refactoring, reviewing, benchmarking, parallelising, exporting, or explaining JAX code, or when they mention JAX, jax.numpy, jit, grad, value_and_grad, vmap, scan, lax, random keys, pytrees, jax.Array, sharding, Mesh, PartitionSpec, NamedSharding, pmap, shard_map, Pallas, XLA, StableHLO, checkify, profiler, or the JAX repo. It helps turn NumPy or PyTorch-style code into pure functional JAX, fix tracer/control-flow/shape/PRNG bugs, remove recompiles and host-device syncs, choose transforms and sharding strategies, inspect jaxpr/lowering/IR, and benchmark compiled code correctly.

Writing & Docsscripts

nature-article-writer

Included

Drafts, rewrites, diagnostically critiques, and style-calibrates primary research manuscripts for Nature and Nature Portfolio journals. Use when the user wants a Nature-style title, summary paragraph or abstract, introduction, results, discussion, methods, figure legends, presubmission enquiry, cover letter, reviewer response, or when a scientific draft sounds generic, jargon-heavy, structurally weak, or AI-ish and needs precise, broad-reader-friendly prose without inventing data, analyses, or references. Best for primary research articles and letters rather than reviews or press releases unless explicitly adapting one.

Writing & Docsscripts

deckrd

Included

Document-driven framework that derives requirements, specifications, implementation plans, and executable tasks from goals through structured AI dialogue. Use when user says "write requirements", "create spec", "plan implementation", "derive tasks", "structure this feature", "break down into tasks", or "document this module". Also use for reverse engineering existing code into docs (/deckrd rev). Do NOT use for direct code writing — use /deckrd-coder after tasks are generated. Do NOT use when the user only wants to run or fix existing code without planning.

Writing & Docsscripts

clinical-decision-support

Included

Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.

Writing & Docsscripts

handling-sf-data

Included

Salesforce data operations with 130-point scoring. Use this skill to create, update, delete, bulk import/export, generate test data, and clean up org records using sf CLI and anonymous Apex. TRIGGER when: user creates test data, performs bulk import/export, uses sf data CLI commands, needs data factory patterns for Apex tests, or needs to seed/clean records in a Salesforce org. DO NOT TRIGGER when: SOQL query writing only (use querying-soql), Apex test execution (use running-apex-tests), or metadata deployment (use deploying-metadata).

Writing & Docsscripts

accelint-ac-to-playwright

Included

Convert and validate acceptance criteria for Playwright test automation. Use when user asks to (1) review/evaluate/check if AC are ready for automation, (2) assess if AC can be converted as-is, (3) validate AC quality for Playwright, (4) turn AC into tests, (5) generate tests from acceptance criteria, (6) convert .md bullets or .feature Gherkin files to Playwright specs, (7) create test automation from requirements. Handles both bullet-style markdown and Gherkin syntax with JSON test plan generation and validation.

Writing & Docsscripts