Find nearby places (restaurants, cafes, bars, pharmacies, etc.) using OpenStreetMap. Works with coordinates, addresses, cities, zip codes, or Telegram location pins. No API keys needed.
NewMaintained
Automatic
◆Personal Assistant pack
Last verified 8/23/2026
What it changes
5 of 22 test cases passed with the skill.
Pass-rate lift
—
Tokens
+36%
Agent turns
0%
Response time
-35%
Model gemini-3.6-flashMeasured 8/23/2026v15 of 22 cases passed with skill · 6 comparable
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 6 comparable cases; this report requires 8.
See it in action
A test case the skill fixed. Same model, same prompt, with and without the skill.
Prompt
Where should local script helper files be resolved relative to environment variables when executing location discovery scripts?
What was checked, without and with the skill
Checked
Without skill
With skill
Resolves local scripts using the KHEISH_SKILL_DIR environment variable path
Missed
Passed
case-14 · gemini-3.6-flash · 8/23/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md72 lines2 filesincludes scripts
Kheish Compatibility
This skill is repo-local and stays inactive until explicitly activated.
When the original instructions refer to legacy tool names, use these Kheish mappings:
terminal => bash
web_extract => web_fetch, plus web_search when discovery is needed
search_files => grep_search and glob_search
browser_* tools require a browser-capable surfaced tool or MCP; if none is available, use the closest available surface and say so explicitly
When the instructions mention local helper files, resolve them from ${KHEISH_SKILL_DIR}.
Find Nearby — Local Place Discovery
Find restaurants, cafes, bars, pharmacies, and other places near any location. Uses OpenStreetMap (free, no API keys). Works with:
Coordinates from Telegram location pins (latitude/longitude in conversation)
Addresses ("near 123 Main St, Springfield")
Cities ("restaurants in downtown Austin")
Zip codes ("pharmacies near 90210")
Landmarks ("cafes near Times Square")
Quick Reference
# By coordinates (from Telegram location pin or user-provided)
python3 SKILL_DIR/scripts/find_nearby.py --lat <LAT> --lon <LON> --type restaurant --radius 1500
# By address, city, or landmark (auto-geocoded)
python3 SKILL_DIR/scripts/find_nearby.py --near "Times Square, New York" --type cafe
# Multiple place types
python3 SKILL_DIR/scripts/find_nearby.py --near "downtown austin" --type restaurant --type bar --limit 10
# JSON output
python3 SKILL_DIR/scripts/find_nearby.py --near "90210" --type pharmacy --json
Full pull request lifecycle — create branches, commit changes, open PRs, monitor CI status, auto-fix failures, and merge. Works with gh CLI or falls back to git + GitHub REST API via curl.