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Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved
Spawn nested sub-agents (agents that spawn sub-agents, up to depth=5) via Claude Code's native Task tool — for context-managed deep delegation
Author a workflow — either an MCP workflow template (persisted, lifecycle) or a native .claude/workflows/*.js orchestration script (agent/parallel/pipeline fan-out)
Run a workflow — drive an MCP workflow lifecycle (execute/pause/resume/cancel) or invoke + resume a native .claude/workflows/*.js orchestration via the Workflow tool
Side-by-side comparison of ruflo vs HAL vs other GAIA harnesses — capability gaps, design decisions, and improvement roadmap
Diagnose why a GAIA question failed — extract trace, classify failure mode, and propose a fix
Walk through a complete GAIA benchmark→submit flow — from key resolution through HAL-compatible package generation
| name | cost-compact-context |
| description | Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved |
| argument-hint | <query> |
| allowed-tools | Bash |
Wraps getTokenOptimizer().getCompactContext() from @claude-flow/integration for cost-analysis queries. The bridge dynamically imports agentic-flow with graceful fallback: when the package isn't installed, tokensSaved is 0 and the skill exits cleanly. No MCP tool wraps getTokenOptimizer today (ADR-0002 §"Riskiest assumption"); we shell a Node one-liner instead.
Take the query — the single argument.
Invoke — run from anywhere under v3/ so @claude-flow/integration resolves:
( cd v3 && node ../plugins/ruflo-cost-tracker/scripts/compact.mjs "<QUERY>" )
The script imports @claude-flow/integration/token-optimizer (canonical export — not dist/token-optimizer.js, which would double the .js extension via Node's ./* exports rule), calls getCompactContext(query), and prints a markdown summary plus a JSON line via COMPACT_QUIET=1.
Report — markdown table with: memories retrieved, tokens saved (bridge-reported), agentic-flow availability, cache hit rate. The script also emits a "bridge-reported, not measured against a no-RAG baseline" disclaimer. On bridge-unavailable: prints "agentic-flow not installed — bridge returns inert results." and exits cleanly.
CLAUDE.md root claims ReasoningBank retrieval: -32% tokens. The bridge's tokensSaved is query_tokens − compact_prompt_tokens (token-optimizer.ts:141–143) — a heuristic, not a baseline-measured saving. token-optimizer.ts:9–10 itself says: "No fabricated metrics are reported — all stats reflect real measurements". This skill carries that disclaimer forward.
Booster-specific availability is not exposed as a getter — observable only through optimizedEdit() returning method: 'agent-booster'. The canonical Tier 1 signal is [AGENT_BOOSTER_AVAILABLE] (see cost-booster-route).
agentic-flow not installed → getCompactContext returns {tokensSaved: 0, memories: []} (line 116–124), optimizedEdit returns {method: 'traditional'}, getOptimalConfig falls back to anti-drift defaults. Skill exits cleanly with the "not available" message.
ADR-0002 Decision #2 + §"Riskiest assumption" · token-optimizer.ts:308 (singleton export) · docs/benchmarks/0002-baseline.md (verification findings).