agentleFS
evergonlabsevergonlabs/aiframework/.claude/skills/aif-pulse/SKILL.md

aif-pulse

Skill0 starsChanged 7 months agoMITView on GitHub

Check for latest Claude Code features, best practices, and ecosystem updates. Researches official docs, discovers new capabilities, and suggests project improvements. Run periodically to keep your AI development setup cutting-edge.

  • Deletes or force-pushes

The file

Show its rules and text

We split this skill into the rules it gives an agent

14 rules. About 0 are common, 9 are distinctive, and 5 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈9

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    When you suspect there are new features you're not using

    line 20
  2. Distinctive:

    When you want to optimize your AI development workflow

    line 21
  3. Distinctive:

    After reading about a new Claude Code capability

    line 22
  4. Distinctive:

    Search for the latest Claude Code documentation and features:

    line 28
  5. Distinctive:

    Read the project's current configuration:

    line 43
  6. Very specific:

    Check git hooks: .githooks/ or .husky/

    line 52
  7. Distinctive:

    Search for features the project might benefit from:

    line 89
  8. Distinctive:

    If approved, apply each one:

    line 133
  9. Very specific:

    Update .claude/settings.json with new hooks/permissions

    line 134
  10. Very specific:

    Add missing .claude/rules/ files

    line 135
  11. Distinctive:

    Update CLAUDE.md if it's bloated

    line 136
  12. Distinctive:

    Create new skills for repeated workflows

    line 137
  13. Very specific:

    Add .claude/agents/ for specialized tasks

    line 138
  14. Very specific:

    Update vault/memory/status.md with pulse date

    line 153

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

AI Development Pulse

Telemetry (run first, silent):

aiframework-telemetry skill_invoked skill=aif-pulse 2>/dev/null || true

Stay current with Claude Code features, best practices, and the AI-assisted development ecosystem. Discovers what's new and applies relevant improvements to your project.

When to Use

  • Weekly or after major Claude Code releases
  • When you suspect there are new features you're not using
  • When you want to optimize your AI development workflow
  • After reading about a new Claude Code capability

Process

Step 1: Research Latest Updates

Search for the latest Claude Code documentation and features:

WebSearch: "Claude Code new features 2026"
WebSearch: "Claude Code changelog latest release"
WebSearch: "Claude Code best practices update"
WebSearch: "claude code skills hooks agents new"

Also check official sources:

  • WebFetch: https://code.claude.com/docs/en/changelog (if available)
  • WebFetch: https://docs.anthropic.com/en/docs/claude-code/overview

Step 2: Audit Current Project Setup

Read the project's current configuration:

  1. CLAUDE.md — how many lines? Is it lean or bloated?
  2. .claude/rules/ — what rules exist? Are they path-scoped?
  3. .claude/skills/ — what skills exist? Are they well-structured?
  4. .claude/settings.json — what permissions/hooks are configured?
  5. .claude/agents/ — any custom subagents?
  6. AGENTS.md — cross-tool compatibility?
  7. .mcp.json — any MCP servers configured?
  8. Check git hooks: .githooks/ or .husky/

Step 3: Gap Analysis

Compare current setup against latest best practices:

CLAUDE.md Health Check:

  • Is it under 200 lines? (Official recommendation)
  • Does it contain ONLY what Claude can't figure out from code?
  • Are there rules that belong in .claude/rules/ instead?
  • Are there workflows that belong in .claude/skills/ instead?
  • Is there a Self-Evolution section?

Rules Check:

  • Are rules using paths: frontmatter for file-scoped loading?
  • Are rules specific enough? (not just generic "write clean code")
  • Are there domains detected in the manifest that don't have rules?

Skills Check:

  • Is there a review skill? Ship skill? Learn skill?
  • Are skills using allowed-tools to scope permissions?
  • Are skills using disable-model-invocation for side-effect workflows?
  • Could any repeated prompts become skills?

Settings Check:

  • Are safe tools pre-approved? (Read, Glob, Grep, WebSearch)
  • Are there hooks for auto-formatting after edits?
  • Are dangerous commands blocked? (rm -rf, DROP TABLE)

Advanced Features Check:

  • Custom subagents in .claude/agents/?
  • MCP servers for external tool integration?
  • CLAUDE.local.md for personal overrides?
  • Prompt caching optimization?

Step 4: Discover New Capabilities

Search for features the project might benefit from:

WebSearch: "Claude Code hooks PostToolUse auto format"
WebSearch: "Claude Code custom subagents .claude/agents"
WebSearch: "Claude Code MCP servers useful"
WebSearch: "Claude Code skills examples advanced"
WebSearch: "Claude Code context window optimization"

Look specifically for:

  • New tool types — has Claude Code added new built-in tools?
  • New hook events — FileChanged, CwdChanged, PreCompact, PostCompact?
  • New skill features — context: fork, agent: Explore, model overrides?
  • New settings — auto-memory, env injection, model selection?
  • Community patterns — what are top projects doing with .claude/?

Step 5: Generate Recommendations

For each finding, create a recommendation:

## Recommendations

### 1. [Feature Name]
- **What**: Brief description of the feature/practice
- **Why**: How it helps this specific project
- **How**: Exact steps or code to implement
- **Impact**: High/Medium/Low

### 2. ...

Categories:

  • Quick Wins — can be applied in <5 minutes
  • Medium Effort — needs 15-30 minutes of setup
  • Strategic — requires planning, significant benefit

Step 6: Apply Quick Wins

For recommendations marked as Quick Wins, ask the user:

"I found N improvements. M are quick wins I can apply now. Should I apply them?"

If approved, apply each one:

  • Update .claude/settings.json with new hooks/permissions
  • Add missing .claude/rules/ files
  • Update CLAUDE.md if it's bloated
  • Create new skills for repeated workflows
  • Add .claude/agents/ for specialized tasks

Step 7: Log and Track

  1. Record findings to the learnings file:
echo '{"date":"'$(date +%Y-%m-%d)'","category":"pattern","summary":"AI Pulse findings","detail":"Found N improvements, applied M quick wins","files":["CLAUDE.md",".claude/"]}' >> tools/learnings/*-learnings.jsonl
  1. Update vault status:
| {date} | pulse | AI Pulse: found N improvements, applied M |

Append to vault/wiki/log.md

  1. Update vault/memory/status.md with pulse date

What to Look For (Reference)

Claude Code Features Checklist

FeatureCheckSince
CLAUDE.md✓ Must existv1.0
.claude/rules/ (path-scoped)Check for paths: frontmatter2025
.claude/skills/Check for SKILL.md files2025
.claude/settings.jsonCheck permissions + hooks2025
.claude/agents/Check for custom subagents2026
AGENTS.mdCheck for cross-tool config2025
.mcp.jsonCheck for MCP servers2025
CLAUDE.local.mdCheck for personal overrides2025
Auto memory (MEMORY.md)Check ~/.claude/projects/2025
Hooks (PostToolUse)Check settings.json hooks2025
Prompt cachingAutomatic, check usage2025
Worktree isolationCheck skill context: fork2026
Model routing per skillCheck skill model: field2026

AI Development Patterns

PatternDescription
Lean CLAUDE.mdUnder 200 lines, high-signal only
Progressive DisclosureRules load by path, skills load on demand
Deterministic over AdvisoryHooks > CLAUDE.md for enforcement
Skills as PlaybooksCapture repeated prompts as skills
Subagents for IsolationHeavy research in separate context
MCP for ExternalDatabase, API, browser via MCP servers
Auto-format HooksPostToolUse hook runs prettier/ruff after edits
Memory SeparationCLAUDE.md = team rules, MEMORY.md = personal patterns

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.