ad-spend-optimizer
Analyze paid advertising performance across channels and recommend budget reallocation to maximize ROAS and minimize CAC. Use when: planning quarterly ad…
Use when context is growing large (50k+ tokens), performance is degrading, instructions are being ignored mid-conversation, or planning multi-agent workflows. Triggers on "lost context", forgotten instructions, or sessions exceeding 30 minutes.
$ npx -y skills add guia-matthieu/clawfu-skills --skill context-engineering --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/context-engineeringContext preview
The summary Claude sees to decide when to auto-load this skill.
Use when context is growing large (50k+ tokens), performance is degrading, instructions are being ignored mid-conversation, or planning multi-agent workflows. Triggers on "lost context", forgotten instructions, or sessions exceeding 30 minutes.
name: context-engineering description: Use when context is growing large (50k+ tokens), performance is degrading, instructions are being ignored mid-conversation, or planning multi-agent workflows. Triggers on "lost context", forgotten instructions, or sessions exceeding 30 minutes. license: MIT metadata: author: ClawFu version: 1.0.0 mcp-server: "@clawfu/mcp-skills"
**Core principle:** Context is a finite resource with diminishing returns. Find the smallest high-signal token set, not the largest.
200K tokens is shared space: system prompt + conversation history + your processing. As context grows, performance degrades predictably.
| Problem | Symptom | Fix | |---------|---------|-----| | **Lost-in-middle** | Mid-conversation instructions ignored | Move critical info to start/end | | **Context poisoning** | Errors compounding, hallucinations referenced | Summarize and reset | | **Context distraction** | Irrelevant info degrading performance | Prune aggressively | | **Context confusion** | Conflicting guidance causing inconsistency | Consolidate instructions |
Information in context middle gets **10-40% lower recall** than edges.
[START - High attention] ↓ [MIDDLE - Low attention zone] ← Instructions here get ignored ↓ [END - High attention]
**Fix:** Strategic placement
Early hallucination gets referenced → compounds → becomes "fact".
**Symptoms:**
**Fix:** Checkpoint and summarize
Every 10-15 exchanges, create explicit checkpoint: "Let me summarize what we've established: 1. [Verified fact] 2. [Verified fact] 3. [Decision made] Continuing from here..."
Irrelevant tokens compete for attention budget.
**Symptoms:**
**Fix:** Aggressive pruning
Multiple conflicting instructions create inconsistent behavior.
**Symptoms:**
**Fix:** Consolidate
Before: "Use TypeScript" (message 3) + "Keep it simple" (message 12) + "Add types everywhere" (message 27) After: "TypeScript with practical typing - types where they help, skip where obvious"
When approaching limits, summarize context sections:
## Session Summary (compacted) **Goal:** [One sentence] **Decisions made:** - [Decision 1] - [Decision 2] **Current state:** [What's done, what's next] **Key constraints:** [Still-active requirements] --- [Continue with fresh context]
Replace verbose tool outputs with compact references:
Before: [500 lines of file content in context] After: "Read src/app/page.tsx - React component with Hero, About, FAQ sections"
Isolate subtasks in separate agents with clean contexts:
Main Agent (orchestrator): - High-level plan - Synthesis of results Subagent 1 (search): Subagent 2 (implement): - Only search context - Only implementation context - Returns summary - Returns code
**Rule:** Subagents get task + minimum required context, NOT full conversation history.
digraph context_management {
"Every 15-20 min" [shape=diamond];
"Context healthy?" [shape=diamond];
"Continue" [shape=box];
"Create checkpoint summary" [shape=box];
"Consider /clear + summary" [shape=box];
"Every 15-20 min" -> "Context healthy?";
"Context healthy?" -> "Continue" [label="yes"];
"Context healthy?" -> "Create checkpoint summary" [label="degrading"];
"Create checkpoint summary" -> "Consider /clear + summary";
}**Health check questions:**
Capture for next session: 1. **Goal state** - What were we trying to achieve? 2. **Current state** - What's done, what's broken? 3. **Key decisions** - Why did we choose X over Y? 4. **Active constraints** - What rules still apply? 5. **Next steps** - Where to pick up?
## Subagent Prompt Template **Task:** [Specific deliverable] **Context:** [ONLY what's needed - 50-200 words max] **Constraints:** [Hard requirements] **Output format:** [What to return] [Do NOT include: conversation history, resolved discussions, unrelated files]
| Anti-Pattern | Why it fails | Better approach | |--------------|--------------|-----------------| | "Include everything just in case" | Dilutes attention, causes distraction | Include only what's needed NOW | | Repeating instructions every message | Wastes tokens, implies they weren't heard | Trust system prompt, reinforce only when ignored | | Long file dumps without summary | Lost-in-middle effect | Read → summarize → reference summary | | Keeping resolved threads active | Context confusion | Summarize resolution, move on |
175 expert marketing methodologies for AI agents. Free. Open source. MIT licensed. Dunford on positioning. Schwartz on copywriting. Cialdini on persuasion. Ogilvy on advertising. Hormozi on offers. Voss on negotiation.
Repo: guia-matthieu/clawfu-skills
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