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Learn from session

Skill Erlemar/dswok/.claude/skills/learn-from-session

A collection of notes on Data Science

Install
npx -y skills add Erlemar/dswok --skill learn-from-session

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Extract patterns and learnings from the current session. Use when asked to learn from this session, capture session learnings, or review what was accomplished. Outputs structured findings for use with /llm-rules-updater.

SKILL.md

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Learn from Session

Step 1: Review Session Context

Examine what was accomplished in this session, focusing on:

  • Commands run repeatedly or permission prompts that appeared multiple times
  • Friction points: wrong approaches, wasted tool calls, repeated corrections
  • Knowledge gaps: things looked up that could be pre-loaded as rules
  • Patterns that emerged across multiple files or tasks
  • Failed approaches: things that didn't work and why (anti-patterns)
  • Commands that required manual approval (check if they could be added to permissions.allow in ~/.claude/settings.json)

Step 2: Identify Improvement Opportunities

Beyond rules updates, check for opportunities across all Claude Code configuration:

CategoryWhat to look for
CLAUDE.mdUniversal conventions, workflow preferences, common pitfalls, anti-patterns ("tried X, doesn't work because Y, do Z instead")
Memory topic filesDomain-specific knowledge → route to the right topic file (check memory/ dir for existing files; keep MEMORY.md for universal rules and pointers only)
Slash CommandsRepetitive multi-step tasks (3+ commands), common workflows
SkillsDomain-specific guidance, code review rules, conventions
AgentsSpecialized workflows, multi-step analysis tasks
HooksPre-commit checks, build verification, auto-formatting
PermissionsCommands that required manual approval — check against existing allowlist in ~/.claude/settings.json under permissions.allow

Step 3: Output Structured Findings

Present results in this format. Each finding must be concrete — include the specific command, file, or pattern observed.

## Session Summary


**What we did:**
- [Brief bullet points of main accomplishments]


**Patterns observed:**
- [Recurring actions, questions, or friction points]


---


## Extracted Learnings


- Ran `arc lint -a` 4 times after editing — add a PostToolUse hook for auto-formatting
- `buck test` failed twice because target was `test_foo` not `foo_test` — add naming convention to CLAUDE.md
- Permission prompt for `jf submit` appeared 3 times — add to allowlist


---


## Improvement Opportunities


### Rules Updates
- [specific rule text to add or change, with target file path]


### Anti-Patterns Discovered
- **[What was tried]** → [Why it failed] → [Do this instead]
 - Target file: [which memory/CLAUDE.md file to add this to]


### Memory Updates
- [specific entry to add/update] → Target: [topic file name]


### Slash Commands
- **`/[name]`** — [use case], Priority: [High/Medium/Low]


### Skills
- **`[name]`** — [domain], Priority: [High/Medium/Low]


### Hooks
- **[name]** — [type], Priority: [High/Medium/Low]


### Permissions
- **`Bash(command:pattern*)`** — [what it does], approved N times (in allowlist: yes/no)

Step 4: Offer to Apply

After presenting findings, ask:

"Would you like me to apply any of these changes now? I can:

  • Update memory files (MEMORY.md or topic files)
  • Add permissions to settings.json
  • Create/update CLAUDE.md entries"

Apply only the changes the user approves. Do NOT auto-apply without confirmation. For complex CLAUDE.md rule edits, use /llm-rules-updater instead.

Related Skills

  • /llm-rules-updater: Create or update LLM rules (rules file discovery, format-aware editing, diff submission)
  • /learn-from-history: Extract patterns from past session transcripts
  • /analyze-diffs: Extract patterns from Phabricator diffs
  • /project-rule-evaluator: Audit CLAUDE.md files for quality and structure

Do Not

  • Suggest improvements for one-time tasks
  • Be vague ("improve documentation") — always be concrete
  • Ignore user's actual workflow patterns
  • Suggest skills or commands that duplicate existing ones
  • Suggest permissions already in the allowlist
  • Route all memory updates to MEMORY.md — use topic files

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.