vamseeachanta
vamseeachanta/workspace-hub
相关职业SOC
基于 SOC 职业分类
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill miro-api-1-rate-limiting命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
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.
正在显示 SKILL.md
基于 SOC 职业分类
| name | miro-api-1-rate-limiting |
| description | Sub-skill of miro-api: 1. Rate Limiting (+3). |
| version | 1.0.0 |
| category | business |
| type | reference |
| scripts_exempt | true |
# Rate limit handling
import time
from functools import wraps
def rate_limit_handler(max_retries=3, base_delay=1):
"""Decorator for handling Miro rate limits"""
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
for attempt in range(max_retries):
try:
return func(*args, **kwargs)
except Exception as e:
if "429" in str(e) or "rate" in str(e).lower():
delay = base_delay * (2 ** attempt)
print(f"Rate limited, waiting {delay}s...")
time.sleep(delay)
else:
raise
raise Exception("Max retries exceeded")
return wrapper
return decorator
@rate_limit_handler(max_retries=3)
def safe_create_sticky(board_id, content, x, y):
return miro.sticky_notes.create(
board_id=board_id,
data={"content": content},
position={"x": x, "y": y, "origin": "center"},
)
# Batch creation for better performance
def batch_create_stickies(board_id: str, items: list, batch_size: int = 10):
"""Create stickies in batches to avoid rate limits"""
created = []
for i in range(0, len(items), batch_size):
batch = items[i:i + batch_size]
for item in batch:
sticky = miro.sticky_notes.create(
board_id=board_id,
data={"content": item["content"]},
style={"fillColor": item.get("color", "yellow")},
position={"x": item["x"], "y": item["y"], "origin": "center"},
)
created.append(sticky)
# Small delay between batches
if i + batch_size < len(items):
time.sleep(0.5)
return created
# Comprehensive error handling
from miro_api.exceptions import MiroApiException
def safe_api_call(func, *args, **kwargs):
"""Wrapper for safe API calls"""
try:
return func(*args, **kwargs)
except MiroApiException as e:
if e.status_code == 404:
print(f"Resource not found: {e}")
return None
elif e.status_code == 401:
print("Authentication failed - check token")
raise
elif e.status_code == 403:
print("Permission denied - check scopes")
raise
elif e.status_code == 429:
print("Rate limited - implement backoff")
time.sleep(60)
return func(*args, **kwargs)
else:
raise
# Helper functions for positioning
def calculate_grid_position(index: int, columns: int, spacing: float = 250):
"""Calculate x, y for grid layout"""
row = index // columns
col = index % columns
return {
"x": col * spacing,
"y": row * spacing,
}
def calculate_circle_position(index: int, total: int, radius: float = 300, center_x: float = 0, center_y: float = 0):
"""Calculate x, y for circular layout"""
import math
angle = (2 * math.pi * index) / total
return {
"x": center_x + radius * math.cos(angle),
"y": center_y + radius * math.sin(angle),
}