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Sub-skill of time-tracking: 1. Handle Rate Limits (+2).
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Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
| name | time-tracking-1-handle-rate-limits |
| description | Sub-skill of time-tracking: 1. Handle Rate Limits (+2). |
| version | 1.0.0 |
| category | business |
| type | reference |
| scripts_exempt | true |
import time
from functools import wraps
def rate_limited(max_per_second=1):
"""Rate limiting decorator."""
min_interval = 1.0 / max_per_second
last_call = [0.0]
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
elapsed = time.time() - last_call[0]
if elapsed < min_interval:
time.sleep(min_interval - elapsed)
result = func(*args, **kwargs)
last_call[0] = time.time()
return result
return wrapper
return decorator
from functools import lru_cache
from datetime import datetime
@lru_cache(maxsize=100)
def get_projects_cached(workspace_id, cache_key=None):
"""Get projects with caching."""
return toggl.get_projects(workspace_id)
# Invalidate cache daily
cache_key = datetime.now().strftime("%Y-%m-%d")
projects = get_projects_cached(workspace_id, cache_key)
def validate_time_entry(entry):
"""Validate time entry before creating."""
if not entry.get("description"):
raise ValueError("Description is required")
duration = entry.get("duration", 0)
if duration > 12 * 3600: # More than 12 hours
raise ValueError("Duration exceeds 12 hours")
if duration < 60: # Less than 1 minute
raise ValueError("Duration too short")
return True