agentify-project
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.
$ npx -y skills add eai-org/agent-toolkit --skill context-checkup --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/context-checkupContext preview
The summary Claude sees to decide when to auto-load this skill.
Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens.
name: context-checkup description: Audit what auto-loads into an agent session's context window and suggest lean, reversible fixes to cut startup tokens. disable-model-invocation: true type: flow license: MIT metadata: version: "1.2"
Find what loads **automatically** into the session's context at startup, quantify it, and propose **reversible** trims ranked by payoff — shrink the startup context window by cutting what isn't worth its tokens. Read-only — measure and recommend; change settings only on explicit approval.
Cost hierarchy, biggest first: 1. **MCP tool schemas** — large, but **deferred** by tool search. Only a problem if tool search is OFF. 2. **Always-on text** — CLAUDE.md/AGENTS.md chain, `@imports`, and **skill/agent/command descriptions** (every available one's description loads every session). 3. **MCP server instructions** — load per enabled server at startup; a chatty preamble can dwarf its tool names. 4. **MCP tool names** — ~10 tokens each. Cheap; 30 names ≈ 300 tokens isn't worth a recommendation.
Rules: **measure, never guess** — `wc`/count, then attach a rough token figure to each finding. **Rank by tokens-saved × reversibility.** Distinguish **auto-loaded** from **lazy-linked** (nested AGENTS.md referenced from a parent are *not* loaded — don't flag them).
Tool-name counts, the skills/agents/commands lists, and tool-search status come from the **session's system-reminders**, not disk — read them from your own context.
**0. Verify tool search is on first.** If `ENABLE_TOOL_SEARCH` is disabled, MCP schemas load eagerly and every "names are cheap" conclusion flips. Check this before anything else.
**1. Always-on docs.** Measure the CLAUDE.md/AGENTS.md chain: project file + **every parent dir up to root** + global `~/.claude/CLAUDE.md`. Expand `@import` lines (recursive). `wc -w` each.
**2. Descriptions (often the largest unexamined chunk).** Skim the in-session lists of **skills, subagent types, and slash commands** — their descriptions are always loaded. Many rarely-used entries = standing cost.
**3. MCP servers.** From `.mcp.json` + settings, list enabled servers. Count tool **names** per server; note any server with long **instructions**. Flag servers irrelevant to the user's work.
**4. Enablement levers.** Read `~/.claude/settings.json`, project `.claude/settings.json`, `.claude/settings.local.json`. Check `enableAllProjectMcpServers`, `enabledMcpjsonServers`, `enabledPlugins`. Precedence: managed > local > project > user. Each plugin can pull in MCP servers, skills, agents, hooks.
**5. Memory.** Size of `MEMORY.md` index.
A short sizes table (source → ≈ tokens → auto-loaded? → relevant to user's work?), then a prioritized action list. For each action give the exact setting/file edit, the rough savings, and how to reverse it (prefer per-session toggles). Skip anything under ~a few hundred tokens unless asked to be exhaustive. Then ask before editing.
# always-on doc chain (run from project root; also check parent dirs + ~/.claude/CLAUDE.md) for f in CLAUDE.md AGENTS.md ../CLAUDE.md ~/.claude/CLAUDE.md; do [ -f "$f" ] && wc -w "$f"; done # enabled MCP + settings cat .mcp.json; cat .claude/settings.json .claude/settings.local.json ~/.claude/settings.json 2>/dev/null
A collection of generic agentic tools for common engineering tasks, designed to work with any AI agent on any kind of software project.
Make a project ready for AI agentic engineering by converging it toward a canonical agent-neutral structure — a lean AGENTS.md index with progressive…
Check how much of a ticket is already implemented — split it into requirement blocks, judge each against the code, and save a human-readable TICKET-STATUS…
Draft, rewrite, or refine a doc for maximum token economy without losing any rule or intent. Use for docs kept in version control and regularly re-read by…
Author or refine a skill for maximum token economy without losing intent. Use when creating any new skill or editing an existing `SKILL.md`.
Turn a refined requirements document into a structured implementation PLAN.md a fresh session can execute. Planning only — decides the "how", not the "what".…
Turn a ticket or requirements document into a concise QA manual-test file a non-author can follow. Invoke manually only.