# Local Places > | - **Type:** Skill - **Install:** `agentstack add skill-nimbleway-agent-skills-local-places` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [Nimbleway](https://agentstack.voostack.com/s/nimbleway) - **Installs:** 0 - **Category:** [Agent Skills](https://agentstack.voostack.com/c/agent-skills) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [Nimbleway](https://github.com/Nimbleway) - **Source:** https://github.com/Nimbleway/agent-skills/tree/main/skills/productivity/local-places - **Website:** https://www.nimbleway.com ## Install ```sh agentstack add skill-nimbleway-agent-skills-local-places ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # Local Places Location intelligence powered by Nimble Web Search Agents and web data APIs. User request: $ARGUMENTS **Before running any commands**, read `references/nimble-playbook.md` for Claude Code constraints (no shell state, no `&`/`wait`, sub-agent permissions, communication style). --- ## Instructions ### Step 0: Preflight Follow the transport selection + standard preflight from `references/nimble-playbook.md` — pick CLI or MCP at session start, then run the standard preflight calls (date calc, today, profile, memory index) in parallel. Also simultaneously: - `mkdir -p ~/.nimble/memory/{reports,local-places/checkpoints}` - Check for existing checkpoints: `ls ~/.nimble/memory/local-places/checkpoints/ 2>/dev/null` From the results: - CLI missing or API key unset -> `references/profile-and-onboarding.md`, stop - Tag all `nimble` CLI calls: `nimble --client-source skill-local-places `. MCP path: not yet supported — see `references/nimble-playbook.md` for status. - Profile exists -> note the user's location preferences if any. Determine mode using smart date windowing from `references/nimble-playbook.md`: - **Full mode:** first run OR last run > 14 days ago - **Quick refresh:** last run that's fine. Local places doesn't require onboarding. Proceed to Step 1. ### Step 1: Parse Request & Starting Questions Parse `$ARGUMENTS` for place type and location. Extract: | Field | Required | Source | |-------|----------|--------| | Place type | Yes | User input ("coffee shops", "gyms", "restaurants") | | Location | Yes | User input ("Williamsburg", "downtown Austin", "Park Slope") | | Filters | Optional | User input ("with good reviews", "open late", "cheap") | | Output preference | Optional | User input ("map", "list", "guide") | **If both place type and location are clear** from `$ARGUMENTS`, confirm briefly and proceed: "Searching for **coffee shops** in **Williamsburg, Brooklyn**..." **If partial or ambiguous**, ask one combined question in plain text: > "What type of places are you looking for, and where? (e.g., 'coffee shops in > Williamsburg' or 'gyms near downtown Austin')" **If the user provided both but you want to scope further**, use AskUserQuestion (counts as 1 of max 2 prompts): > **How thorough should this search be?** > - **Quick scan** -- top results from Google Maps + Yelp (~20 places) > - **Comprehensive** -- full discovery + social enrichment + reviews (~50+ places) > - **Deep dive with map** -- everything above + interactive neighborhood map ### Step 2: Location Disambiguation Before any API calls, resolve the location to avoid wasted searches. **Disambiguation triggers:** - Location name exists in multiple cities/states (e.g., "Williamsburg" = Brooklyn NY vs. Williamsburg VA) - Location is a broad area (e.g., "downtown Austin" = multiple neighborhoods) - Location is informal (e.g., "Soho" = NYC vs. London) **If ambiguous**, ask the user (counts toward 2-prompt max): > "There are a few places called **Williamsburg**. Which one?" > - **Williamsburg, Brooklyn, NY** > - **Williamsburg, VA** > - **Other -- I'll specify** **If unambiguous**, infer the full location (city + state/country) and confirm inline: "Searching **Williamsburg, Brooklyn, NY**..." After disambiguation, derive the `slug` for checkpointing and file paths: lowercase, hyphenated, includes city + state/country (e.g., `williamsburg-brooklyn-ny`). ### Step 3: Check for Existing Checkpoint Follow the Checkpointing & Resume pattern from `references/memory-and-distribution.md`. Check: `cat ~/.nimble/memory/local-places/checkpoints/{slug}/discovery.json 2>/dev/null` - **Checkpoint found** -> offer: "Found previous run ({N} places from {date}). Resume and fill gaps, or start fresh?" - **No checkpoint** -> proceed to Step 4 ### Step 4: WSA Discovery Discover available WSAs for all phases before execution. Run these searches simultaneously: ```bash nimble agent list --search "maps" --limit 20 ``` ```bash nimble agent list --search "reviews" --limit 20 ``` ```bash nimble agent list --search "social" --limit 20 ``` ```bash nimble agent list --search "{place-type}" --limit 20 ``` From the combined results: 1. Filter by `entity_type`: SERP for discovery, PDP/Profile for enrichment/detail 2. Prefer `managed_by: "nimble"` over `managed_by: "community"` 3. Classify into phases -- see `references/wsa-pipeline.md` for classification strategy 4. Validate each with `nimble agent get --template-name {name}` to confirm params 5. Cache all discovered WSA names + validated params for the rest of the run If no WSAs found for a phase, that phase falls back to `nimble search`. Log which phases had WSA coverage and which are using fallback. ### Step 5: Primary Search (Phase 1) Read `references/wsa-pipeline.md` for category detection logic. Run discovered maps/location WSAs simultaneously, using the validated params from Step 4: ```bash nimble agent run --agent {discovered_maps_wsa} --params '{...validated params...}' ``` ```bash nimble agent run --agent {discovered_review_site_wsa} --params '{...validated params...}' ``` **Tertiary (conditional):** Run discovered credibility WSAs only if primary + secondary return domain normalization -> fuzzy name + city 3. Save checkpoint: `~/.nimble/memory/local-places/checkpoints/{slug}/discovery.json` ### Step 6: Social Enrichment (Phase 2) For each discovered place that has a Facebook page or Instagram handle, run the social WSAs discovered in Step 4. Batch max **4 concurrent Bash calls**. ```bash nimble agent run --agent {discovered_social_wsa} --params '{...validated params...}' ``` Run each discovered social WSA for places with matching handles. Skip social platforms for which no WSA was discovered. If no social WSAs were found in Step 4, skip this phase entirely. Save checkpoint: `~/.nimble/memory/local-places/checkpoints/{slug}/social.json` ### Step 7: Reviews (Phase 3) For the top places (by source count and data completeness), run the review WSAs discovered in Step 4: ```bash nimble agent run --agent {discovered_reviews_wsa} --params '{...validated params...}' ``` Batch max 4 concurrent calls. Focus on places that have a `place_id` or equivalent identifier from Phase 1 discovery. If no review WSAs were found in Step 4, fall back to: `nimble search --query "[place-name] reviews" --max-results 5 --search-depth lite` Save checkpoint: `~/.nimble/memory/local-places/checkpoints/{slug}/reviews.json` ### Step 8: Food/Drink Bonus (Phase 4) **Auto-trigger** when the place type category matches food/drink keywords. See `references/wsa-pipeline.md` for the category detection logic. If triggered, run the delivery/food WSAs discovered in Step 4. Discovery first, then detail: ```bash nimble agent run --agent {discovered_delivery_serp_wsa} --params '{...validated params...}' ``` For places found on delivery platforms, fetch full details using discovered detail WSAs: ```bash nimble agent run --agent {discovered_delivery_detail_wsa} --params '{...validated params...}' ``` If no delivery WSAs were found in Step 4, fall back to: `nimble search --query "[place-name] [location] delivery" --max-results 3 --search-depth lite` Only run for food/drink categories. Skip if category doesn't match. ### Step 9: Deduplication & Confidence Scoring **Deduplication:** Run a final dedup pass across all phases following the Entity Deduplication pattern from `references/nimble-playbook.md`. Merge fields from multiple sources into a single enriched record per place. **Confidence scoring:** Follow the Entity Confidence Scoring pattern from `references/nimble-playbook.md`. Skill-specific target fields (N=8): | Field | Description | |-------|-------------| | name | Business name | | address | Full street address | | phone | Phone number | | website | Website URL | | rating | Average rating | | review_count | Number of reviews | | social | At least one social profile | | hours | Operating hours | Scoring criteria: - **High** (8/8 fields + 2+ sources + 10+ reviews) -> display as `*** High` - **Medium** (5-7/8 fields OR 2+ sources with partial data) -> `** Medium` - **Low** ( `* Low` ### Step 10: Output Present results as a numbered table sorted by confidence (High first), then by rating within each tier. ``` # Local Places: [Place Type] in [Location] *Found [N] places | [Date] | Confidence: [H] High, [M] Medium, [L] Low* ## Results | # | Name | Rating | Reviews | Confidence | Address | Sources | |---|------|--------|---------|------------|---------|---------| | 1 | Place A | 4.8 (312) | *** High | 123 Main St | [Maps][Yelp] | | 2 | Place B | 4.6 (89) | ** Medium | 456 Oak Ave | [Maps] | ... ## Top Picks (High Confidence) ### 1. Place A - **Address:** 123 Main St, Williamsburg, Brooklyn, NY - **Phone:** (555) 123-4567 | **Website:** [placea.com](https://placea.com) - **Rating:** 4.8/5 (312 reviews on Google Maps, 289 on Yelp) - **Social:** Instagram @placea (2.1K followers) | Facebook (1.8K likes) - **Hours:** Mon-Fri 7am-7pm, Sat-Sun 8am-6pm - **Delivery:** Available on DoorDash, Uber Eats - **Why it stands out:** [1-2 sentences from review highlights] - **Sources:** [Google Maps](link) | [Yelp](link) | [Facebook](link) [Repeat for each High confidence place] ## Other Results (Medium + Low Confidence) [Briefer format -- name, rating, address, missing data noted] ## What's Missing [Note any data gaps: "3 places had no website or social presence", "Reviews unavailable for BBB-only listings"] ``` **Source links are mandatory.** Every place must have at least one clickable source URL (Google Maps link, Yelp listing, website, or social profile). Places without any source link should be noted in "What's Missing" but still included if they have sufficient data from WSA results. **Drill-down:** After presenting, tell the user: > "Want details on any place? Say 'tell me more about #3' or ask for the > interactive map." ### Step 11: Interactive Map (on request or "Deep dive" mode) Generate an HTML file with Leaflet.js + OpenStreetMap tiles. See `references/wsa-pipeline.md` for the full map generation pattern and color scheme. Save to: `~/.nimble/memory/local-places/{slug}-map-{date}.html` Open in browser: `open ~/.nimble/memory/local-places/{slug}-map-{date}.html` Only generate automatically if the user chose "Deep dive with map" in Step 1. For map generation details, see `references/wsa-pipeline.md`. Otherwise, offer it as a follow-up action. ### Step 12: Save to Memory Make all Write calls simultaneously: - Report -> `~/.nimble/memory/reports/local-places-{slug}-{date}.md` - Per-place data -> `~/.nimble/memory/local-places/{slug}/places.json` (structured JSON with all enriched records) - Profile -> update `last_runs.local-places` in `~/.nimble/business-profile.json` (only if profile exists) - Follow the wiki update pattern from `references/memory-and-distribution.md`: update `index.md` rows for all affected entity files, append a `log.md` entry for this run. - Clean up checkpoint (complete run) or keep (partial run) ### Step 13: Share & Distribute **Always offer distribution -- do not skip this step.** Follow `references/memory-and-distribution.md` for connector detection, sharing flow, and source links enforcement. Notion: full results table as a dated subpage. Slack: TL;DR with top 5 places only. ### Step 14: Follow-ups - **"Tell me more about #N"** -> show full detail for that place - **"Show the map"** -> generate interactive map (Step 11) - **"Add filters"** -> re-search with additional constraints - **"Search nearby area"** -> expand to adjacent neighborhoods - **"Export as CSV"** -> generate CSV from places.json - **"Looks good"** -> done **Sibling skill suggestions:** > **Next steps:** > - Run `company-deep-dive` for a full 360 profile on any business from this list > - Run `meeting-prep` if you're meeting with someone at one of these businesses > - Run `competitor-positioning` to compare businesses in this area --- ## Sub-Agent Strategy For comprehensive searches (50+ places), use `nimble-researcher` agents (`agents/nimble-researcher.md`) to parallelize enrichment. Follow the sub-agent spawning rules from `references/nimble-playbook.md` (bypassPermissions, batch max 4, explicit Bash instruction, fallback on failure). For WSA calls at scale (11+ entities), tell agents to use `agent run-batch` instead of individual calls. See the Scaled Execution pattern in `references/nimble-playbook.md` for tier selection. Pass the discovered WSA names from Step 4 to each agent so they use the same cached names. **Spawn pattern:** One agent per batch of 10 places for social enrichment. Each agent runs the Phase 2 WSAs for its batch and returns structured results. **Single-batch optimization:** If <= 10 places, run enrichment directly from the main context instead of spawning agents -- saves overhead. **Fallback:** If any agent fails, run those WSA calls directly from the main context. --- ## Agent Teams Mode (Dual-Mode) Check at startup: `echo $CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS` **Team mode** (flag set): Spawn **teammates** for parallel phases: - **Discovery teammate**: Runs all Phase 1 WSAs, deduplicates, returns unified list - **Enrichment teammate**: Runs Phases 2-4 for each place batch - **Lead** (you): Coordinates, scores, generates output and map **Solo mode** (flag not set): Standard sequential flow from Steps 4-7. --- ## Error Handling See `references/nimble-playbook.md` for the standard error table (missing API key, 429, 401, empty results, extraction garbage). Skill-specific errors: - **WSA/Search 500:** Retry once with the same params. If still failing, fall back to `nimble search` for that place/query. Log the failure but don't skip the place. - **WSA/Search timeout:** Retry once, then skip that call and continue — consistent with the playbook's timeout policy. - **WSA not found:** If no WSAs are discovered for a phase, skip that phase's WSA calls and fall back to `nimble search`. Log which phases had no WSA coverage. - **Location not found:** "Couldn't find results for [location]. Could you be more specific? Try including city and state (e.g., 'Williamsburg, Brooklyn, NY')." - **No results for place type:** "No [place type] found in [location]. Want to try a broader category or nearby area?" - **Ambiguous place type:** "Did you mean [option A] or [option B]?" (e.g., "bar" could be cocktail bar, sports bar, wine bar) ## Source & license This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [Nimbleway](https://github.com/Nimbleway) - **Source:** [Nimbleway/agent-skills](https://github.com/Nimbleway/agent-skills) - **License:** MIT - **Homepage:** https://www.nimbleway.com Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/skill-nimbleway-agent-skills-local-places - Seller: https://agentstack.voostack.com/s/nimbleway - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.