Install
$ agentstack add skill-nimbleway-agent-skills-competitor-positioning ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Competitor Positioning
Marketing-focused competitive positioning analysis powered by Nimble's web data APIs. Built for marketing teams who need to understand how competitors present themselves — messaging, value props, content themes, pricing — and how that evolves over time.
The output is a marketing briefing, not a signal feed. Every insight should answer: "what does this mean for our messaging and positioning?"
User request: $ARGUMENTS
Argument parsing — determine what to do before running anything:
- No arguments → run full workflow (scope confirmation in Step 2)
- Competitor names (e.g., "Exa, Tavily") → research only those, skip scope confirmation
- "battlecard [competitor]" → skip to Battlecard Generation (see below) using
existing snapshots from memory
- "delta" / "what changed" → force delta mode regardless of timing
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.
From the results:
- CLI missing or API key unset →
references/profile-and-onboarding.md, stop - Tag all
nimbleCLI calls:nimble --client-source skill-competitor-positioning. MCP path: not yet supported — seereferences/nimble-playbook.mdfor status. - Profile exists → load prior data from two sources:
~/.nimble/memory/positioning/*.md— prior positioning snapshots (used for
delta detection in Steps 4 + 5)
~/.nimble/memory/competitors/*.md— business signals from competitor-intel
runs (provides context for why positioning may have shifted, e.g., a funding round or leadership change that preceded a messaging pivot) Determine mode:
- Full snapshot: first run OR no prior positioning data OR last run > 14 days ago
- Delta mode: last run You have [N] competitors tracked. Which ones should I analyze?
> - All [N] (~[3-5 × N] Nimble API credits, ~[N × 2] min) > - [Category A]: [names] (grouped by category from profile) > - [Category B]: [names] > - Let me pick — I'll list them
Accept natural language: "just the AI search ones" → resolve from profile categories.
This prevents wasted API credits and wall time on competitors the user doesn't care about right now. Each competitor costs ~3-5 Nimble API credits (1 map + 3-4 extracts
- 2-3 searches).
Step 3: WSA Discovery
For each competitor domain and the user's domain, discover available WSAs:
nimble agent list --search "{domain}" --limit 20
Run one search per domain simultaneously. Filter for SERP/PDP WSAs, prefer managed_by: "nimble", validate with nimble agent get --template-name {name}. Cache discovered names + params. Pass them to competitor agents in Step 5 for richer extraction. If no WSAs found, continue with nimble search/extract/map.
Step 4: Capture the User's Own Positioning (baseline)
Before analyzing competitors, capture the user's own positioning as a baseline for the messaging matrix.
First, discover the site structure to find the right pages to extract:
nimble --transform "links.#.url" map --url "https://[company-domain]" --sitemap only --limit 200
From the returned URLs, identify the features/product page and pricing page (look for paths containing /features, /product, /platform, /pricing, /plans).
Then extract the key pages simultaneously (homepage + whichever pages map found):
nimble extract --url "https://[company-domain]" --format markdown
→ Homepage messaging, tagline, hero copy, CTAs
nimble extract --url "[features-page-url]" --format markdown
→ Features page structure and emphasis (skip if map found no match)
nimble extract --url "[pricing-page-url]" --format markdown
→ Pricing structure and tier naming (skip if map found no match)
If a page extraction returns garbage, note "page not accessible" and continue — partial baseline is better than none.
Step 5: Parallel Research Per Competitor (sub-agents)
Read references/positioning-agent-prompt.md for the full agent prompt template. Follow the sub-agent spawning rules from references/nimble-playbook.md (bypassPermissions, batch max 4, explicit Bash instruction, fallback on failure).
Call estimation & Scaled Execution: Before launching agents, estimate total API calls: ~1 map + 3 extractions + 3 searches per competitor = ~7 × N calls (plus baseline from Step 3). For 2+ competitors (14+ calls), tell agents to use extract-batch for page extractions instead of individual calls. See the Scaled Execution pattern in references/nimble-playbook.md for tier selection.
For each competitor in scope, spawn a general-purpose sub-agent with mode: "bypassPermissions" and inline the prompt from references/positioning-agent-prompt.md. Customize the prompt with each competitor's name, domain, start-date, previous positioning snapshot from memory (loaded in Step 0), and any discovered WSA names from Step 3 for richer data access.
Do NOT use agents/nimble-researcher.md — that agent is scoped for raw data gathering and explicitly forbids analysis, but this skill requires interpretive work (identifying audience signals, comparing positioning snapshots, assessing structure implications).
Each agent handles the complete research cycle for one competitor:
nimble mapto discover the site's actual page structure- Extract homepage, features, and pricing pages (using discovered URLs)
- Search for and extract recent blog posts (2-3 deep dives)
- Analyze social proof (case studies, testimonials)
- Compare against previous snapshot for changes
The agent returns a structured positioning snapshot — see the prompt template for the full output format. No separate blog extraction step is needed; agents handle it.
If an agent's blog extraction was thin ( 14 days since last):
- TL;DR for Marketing — 3-5 key positioning insights the marketing team should
act on, each with a specific implication (e.g., "Competitor X shifted tagline from developer-focused to enterprise — consider whether our messaging still differentiates")
- Messaging Matrix — build a comparison table with rows for Tagline, Primary CTA,
Value Props, Target Audience, and Pricing Model across all competitors including your company. Use verbatim quotes for taglines and CTAs.
- Per Competitor — Positioning Profile:
- Site structure signals (what pages exist/don't exist, subdomains)
- Homepage messaging breakdown (tagline, hero, CTAs, value props)
- Features page analysis (what they emphasize, differentiation claims)
- Pricing positioning (model, tier strategy, enterprise signals)
- Content strategy (blog themes, cadence, audience, content types)
- Social proof strategy (who they showcase, what outcomes they highlight)
- Content Gap Analysis — what competitors are publishing that you're not:
- Topics they cover that you don't
- Content formats they use (case studies, benchmarks, ROI calculators)
- Audience segments they address in content
- Positioning White Space — messaging angles no competitor has claimed strongly:
- Unclaimed value props
- Underserved audience segments
- Narrative gaps
- Recommended Actions — specific, actionable next steps for the marketing team
(e.g., "Draft counter-messaging for Competitor X's new enterprise positioning", "Prioritize case studies targeting [segment] — 3 competitors already own this space")
Delta mode (last run 14 days), run Steps 4-5 for that competitor first, then return here.
Output format:
# Battlecard: [Your Company] vs [Competitor]
## As of [date]
### Competitor Overview
- Tagline: [verbatim]
- Primary CTA: [verbatim]
- Target audience: [who their messaging speaks to]
- Pricing model: [type and entry price if known]
### Their Key Claims
[List each value prop / differentiator they emphasize, verbatim with source URL]
### Our Counter-Positioning
[For each claim above: our response, proof points, and messaging angle]
### Feature Comparison
| Capability | Us | Them | Advantage |
|---|---|---|---|
### Where They Win (acknowledge honestly)
[Areas where their positioning is stronger or they have genuine advantages]
### Where We Win
[Our unique advantages, with evidence]
### Objection Handling
| Prospect Says | Respond With |
|---|---|
### Recommended Talking Points
[3-5 concise talking points for sales/marketing conversations]
Step 9: Follow-ups
- Generate battlecard for a competitor → runs Battlecard Generation above
- Draft counter-messaging for a specific competitor claim → suggest alternative
angles and proof points
- Content calendar comparison → map your publishing against competitors' cadence
- Go deeper on a competitor → extract additional pages (about, careers, partners,
case studies)
- Track a new competitor → update
competitors, create positioning snapshot - Skip a competitor → update
preferences.skip_competitors - "Looks good" → done
Sibling skill suggestions:
> Next steps: > - Run competitor-intel for business signals (funding, hiring, product launches) > - Run company-deep-dive for a full 360 profile on any competitor > - Run meeting-prep if you're meeting with someone at a competitor
Agent Teams Mode (Dual-Mode)
Check at startup: echo $CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS
Team mode (flag set):
- Use the
Agenttool withname:parameter so teammates are addressable - Teammates can use
SendMessageto share cross-competitor patterns they discover
(e.g., "two competitors both shifted to usage-based pricing this month")
- After all competitor teammates return, spawn a Marketing Analyst teammate
with all findings as input, focused solely on content gap analysis and positioning white space — this separates data collection from strategic analysis
- Lead synthesizes the final cross-validated marketing briefing
Solo mode (flag not set):
- Standard fire-and-forget sub-agents (no
SendMessage, noname:) - All analysis happens in the main context after agents return
Error Handling
See references/nimble-playbook.md for the standard error table (missing API key, 429, 401, empty results, extraction garbage). Skill-specific errors:
- Search 500: Retry once without
--focusflag. If still failing, retry with a
simplified query (shorter terms, no date filter). Log the failure but don't skip the competitor.
- Search timeout: Retry once, then skip that call and continue — consistent with
the playbook's timeout policy.
- Page extraction fails (404/garbage): The map step should prevent most 404s by
discovering actual URLs first. If extraction still fails, note "page not accessible" and continue — partial data is better than no data.
- Map returns empty: Some sites block sitemap access. Fall back to extracting
the homepage directly and guessing common paths (/features, /pricing, /blog).
- Empty blog results: Some companies don't blog. Note "no active blog detected"
and focus on page-based positioning instead.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Nimbleway
- Source: Nimbleway/agent-skills
- License: MIT
- Homepage: https://www.nimbleway.com
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.