orcaflex-file-conversion-benchmarks
Sub-skill of orcaflex-file-conversion: Benchmarks (+1).
Best use case
orcaflex-file-conversion-benchmarks is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of orcaflex-file-conversion: Benchmarks (+1).
Teams using orcaflex-file-conversion-benchmarks should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/benchmarks/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How orcaflex-file-conversion-benchmarks Compares
| Feature / Agent | orcaflex-file-conversion-benchmarks | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of orcaflex-file-conversion: Benchmarks (+1).
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Benchmarks (+1) ## Benchmarks - **Single file conversion**: 0.5-2 seconds per file - **Batch processing (180 files)**: ~145 seconds with validation - **Parallel processing (4 workers)**: ~3x faster than sequential - **Memory usage**: ~200-500 MB per file during conversion ## Optimization Tips 1. Use parallel processing for > 10 files 2. Disable validation for trusted files 3. Process smaller files first (auto-sorted by size) 4. Limit max_workers based on available licenses
Related Skills
OrcaFlex Specialist Skill
```yaml
orcaflex-reporting-fixture-proof-pattern
Build and extend fixture-backed OrcaFlex reporting proof paths in digitalmodel using stable metadata baselines, normalized HTML snapshots, and reusable reporting test helpers.
digitalmodel-orcawave-orcaflex-proof-workflows
Class-level digitalmodel OrcaWave/OrcaFlex readiness, semantic-proof, fixture-proof, and closeout workflows.
orcawave-orcaflex-readiness-audit
Audit the real readiness of digitalmodel OrcaWave/OrcaFlex spec-driven workflows by reconciling workspace-hub issues, source/tests, semantic-equivalence boundaries, and wiki synthesis gaps.
multi-file-tax-reconciliation-workflow
Systematic parallel review and reconciliation of multi-document tax filings with cross-reference validation
multi-file-tax-prep-orchestration
Structured approach to complex multi-file tax return preparation with traceability and planning
git-large-file-staging-conflict-recovery
Recover from pre-commit hook blocks on oversized files and corrupted rebase states during bulk repo syncs
freetaxusa-eefile-navigation-pattern
Handling session timeouts and navigating FreeTaxUSA's multi-step e-filing flow to the signature page
interactive-Codex-to-file-based-fallback
Switch from tmux/interactive Codex to file-based Codex -p execution when interactive runs fail with upstream errors or analysis-only stalls, then verify landing from git/GitHub state.
digitalmodel-orcawave-orcaflex-workflow
Current-state workflow for navigating and extending digitalmodel OrcaWave/OrcaFlex capabilities across code, tests, issues, queue tooling, and licensed-machine boundaries.
preserved-plan-refile-with-attested-review-wave
Reopen a previously closed GitHub issue with a preserved local plan, rewrite it into a conservative draft, and drive iterative attested adversarial review waves until it is truly approval-ready.
overnight-verify-close-and-blocker-conversion
Use overnight Codex lanes to clear stale-open GitHub issues by verification-first closure, and convert blocked PR-repair attempts into dedicated blocker issues instead of speculative edits.