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civiltekk-context-optimization-skill

darellchua2/civiltekk-opencode-claude-skills/skills/civiltekk-context-optimization-skill/SKILL.md

Token-overhead audits across agents, skills, and MCP servers (classification + optimization recommendations) and context-compaction strategy that preserves critical information while reducing token usage. Triggers: audit context budget, context budget, token overhead, how much context am I using, audit config bloat, check skill overhead, compact context, summarize session, reduce context, what can we drop, session getting long, preserve key decisions.

Skill6 starsChanged 15 days ago

What's in it

  1. What I do
  2. Side files (load rules)
  3. Routes
  4. Boundaries
  5. Agent behavior rules
---
name: civiltekk-context-optimization-skill
description: >-
  Token-overhead audits across agents, skills, and MCP servers (classification
  + optimization recommendations) and context-compaction strategy that
  preserves critical information while reducing token usage. Triggers: audit
  context budget, context budget, token overhead, how much context am I
  using, audit config bloat, check skill overhead, compact context,
  summarize session, reduce context, what can we drop, session getting
  long, preserve key decisions.
license: Apache-2.0
compatibility: opencode
metadata:
  harness: "opencode"
category: Agent Optimization
---

Consolidates context-budget-skill + strategic-compact-skill (#603).

## What I do

Optimize where a session's or a configuration's tokens go:

1. **Detect the route** (§Routes) — explicit > inferred > ask-once.
   Explicit: the request names the concern ("audit context budget",
   "token overhead", "config bloat" → `audit-overhead`; "compact
   context", "summarize session", "what can we drop" →
   `compaction-strategy`). Inferred: the complaint shape (config has
   grown, planning to add components, sluggish sessions after adding
   skills/agents/MCP → `audit-overhead`; session running long, mid-loop
   context pressure, before a PR → `compaction-strategy`). Ambiguous
   ("optimize my context") → ask once — one ask per run, then proceed on
   the answer.
2. **Load the route's values file** (`references/budget.md` /
   `references/compact.md`) and apply its contract.
3. The routes chain naturally — the audit finds the bloat, compaction
   shrinks the live session; a full optimization often uses both files,
   the route only decides which leads.

## Side files (load rules)

| Read | When | Use |
|------|------|-----|
| `references/budget.md` | route `audit-overhead` | Inventory of agents/skills/rules/MCP/config with token-estimation formulas, Always/Sometimes/Rarely classification buckets, problem-pattern detection, budget-report format, prioritized optimization guidance |
| `references/compact.md` | route `compaction-strategy` | Retention tiers (must-keep → discard), assess→classify→strategy→execute→validate workflow, session-brief output contract, when-to-compact timing and failure modes |

Side files carry VALUES only; this file carries the METHOD. A context
concern outside config auditing and session compaction (model selection,
provider context windows, embedding or retrieval stores) is not this
skill's space — route it to the matching specialist instead of
improvising.

## Routes

| Situation | Route |
|-----------|-------|
| "audit context budget", "context budget", "token overhead", "how much context am I using", "audit config bloat", "check skill overhead"; sluggish sessions after adding skills/agents/MCP; planning to add components and need headroom | `audit-overhead` |
| "compact context", "summarize session", "reduce context", "what can we drop", "session getting long", "preserve key decisions"; ~70% context capacity; between subtasks or before PR creation | `compaction-strategy` |
| Ambiguous ("optimize my context") | ask once (§What I do step 1), then route |

## Boundaries

- The two routes were formerly peer skills that cross-referenced each
  other as companions (audit identifies bloat sources; compact addresses
  runtime compression) — that boundary is internal now; the route table
  above is the boundary logic.
- Acting on audit findings (merging, archiving, or refactoring
  overlapping skills) → `opencode-skills-maintainer-skill`; persisting
  optimization patterns → `continuous-learning-skill`.
- Token estimates are approximations — use audit reports for relative
  comparison and rankings, not absolute measurements (values-file
  doctrine).

## Agent behavior rules

- One ask per run maximum (route detection); headless/CI: no asks —
  infer from the request, defaulting to `audit-overhead`
  (measure first; compaction applies to what the audit reveals about
  the live session).
- For `compaction-strategy`: present the plan before executing it, and
  validate after — if anything critical was lost, restore and
  re-compact (values-file contract).

> **Harness binding — interactive asks** (AGENTS.md §Portability contract):
> OpenCode — `question` tool. Claude Code — `AskUserQuestion`. Other/none —
> ask in a plain reply; headless/no-answer rule above applies.

More agent context in darellchua2/civiltekk-opencode-claude-skills

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AGENTS.md

Skill

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