/arn-spark-stress-prfaq
This skill should be used when the user says "prfaq", "pr faq", "pr/faq", "press release stress test", "stress prfaq", "amazon pr faq method", "test the pitch with a pr/faq", "validate concept through pr/faq", "critique press release", "pr faq stress test", "will this marketing
$ npx -y skills add AppsVortex/arness --skill arn-spark-stress-prfaq --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/arn-spark-stress-prfaq
Context preview
The summary Claude sees to decide when to auto-load this skill.
This skill should be used when the user says "prfaq", "pr faq", "pr/faq", "press release stress test", "stress prfaq", "amazon pr faq method", "test the pitch with a pr/faq", "validate concept through pr/faq", "critique press release", "pr faq stress test", "will this marketing
SKILL.md
arn-spark-stress-prfaq.SKILL.mdname: arn-spark-stress-prfaq
description: >-
This skill should be used when the user says "prfaq", "pr faq", "pr/faq",
"press release stress test", "stress prfaq", "amazon pr faq method",
"test the pitch with a pr/faq", "validate concept through pr/faq",
"critique press release", "pr faq stress test",
"will this marketing story hold up", or wants to stress-test a product concept by drafting a
compelling press release and FAQ, then adversarially critiquing it to find
where the concept cracks under scrutiny. Produces a PR/FAQ report with the
full draft, adversarial questions, crack point analysis, and recommended
concept updates.
version: 1.0.0
Arness Spark Stress PR/FAQ
Stress-test a product concept using Amazon's PR/FAQ method. This technique forces the product concept through two filters:
1. **Draft phase:** A marketing PM agent writes the best possible public story -- a compelling press release, customer FAQ, and internal FAQ. If the press release is unconvincing, the product concept likely has clarity problems. 2. **Critique phase:** The same marketing PM agent (in a separate invocation, with no memory of drafting) adversarially attacks the draft -- finding questions the PR dodges, identifying crack points where claims exceed substance, and recommending concept changes.
The two phases use **separate agent invocations** to prevent rubber-stamping. A critic who remembers being the drafter unconsciously defends what it wrote. Separate invocations force genuine adversarial evaluation.
The product concept is read but never modified -- all recommendations are captured in the PR/FAQ report for later review.
Prerequisites
Configuration Check
1. Read the project's `CLAUDE.md` and check for a `## Arness` section 2. If found, extract the configured **Vision directory** and **Reports directory** paths 3. If no `## Arness` section exists or Arness Spark fields are missing, inform the user: "Arness Spark is not configured for this project yet. Run `/arn-brainstorming` to get started — it will set everything up automatically." Do not proceed without it. 4. If the Reports directory does not exist, create it with `mkdir -p <reports-dir>/stress-tests/`
Data Availability
| Artifact | Status | Location | Fallback | |----------|--------|----------|----------| | Product concept | REQUIRED | `<vision-dir>/product-concept.md` | Cannot proceed without it -- suggest running `/arn-spark-discover` | | Product pillars | ENRICHES | Product Pillars section of product concept | Draft messaging is less focused; critique has fewer anchors | | Competitive landscape | ENRICHES | Competitive Landscape section of product concept | Draft positioning is less grounded in market context | | Target personas | ENRICHES | Target Personas section of product concept | Customer quote in press release is less persona-specific |
**Standard fallback cascade:**
If no product concept exists:
Ask (using `AskUserQuestion`): **"No product concept found. The PR/FAQ stress test needs a product concept to draft and critique messaging for. How would you like to proceed?"** 1. Run `/arn-spark-discover` to create a product concept first 2. Describe the product now (I will conduct the PR/FAQ from your description) 3. Skip the PR/FAQ stress test
If the user chooses option 2, collect a product description and proceed with a reduced-fidelity test (note in the report that the test was based on a verbal description rather than a full product concept).
Workflow
Step 1: Load References
Load the PR/FAQ workflow and report template: > Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-spark-stress-prfaq/references/prfaq-workflow.md` > Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-spark-stress-prfaq/references/prfaq-report-template.md`
Step 2: Read Product Concept and Extract Context
Read the product concept from `<vision-dir>/product-concept.md`. Extract:
- Full product concept (both draft and critique need the complete document)
- Product pillars (anchors messaging in draft, tested for sincerity in critique)
- Competitive landscape (grounds positioning in real market context)
- Target personas (for realistic customer quote in press release)
- Core experience (primary material for the solution paragraph)
Step 3: Phase 1 -- Draft
Invoke the `arn-spark-marketing-pm` agent in **draft mode** via the Task tool, passing the model from `.arness/agent-models/spark.md` as the `model` parameter (see `plugins/arn-spark/skills/arn-spark-ensure-config/references/ensure-config.md` "Dispatch convention" for fallback). Context:
--- PRODUCT CONCEPT --- [full product concept document] --- END PRODUCT CONCEPT ---
--- PRODUCT PILLARS --- [product pillars section] --- END PRODUCT PILLARS ---
--- OPERATING MODE --- draft --- END OPERATING MODE ---
Receive back the complete draft: press release (400-600 words), customer FAQ (5-8 entries), internal FAQ (3-5 entries).
**Quality check before proceeding:**
- Press release must be 400-600 words and compelling (would a reporter find this newsworthy? Does it lead with customer value, not features?)
- Customer FAQ answers must be concrete with specific examples, not evasive hedging
- Internal FAQ questions must address genuine tensions or risky claims in the press release
- Customer quote must use colloquial language and personal emotion, not corporate phrasing
If the draft is too thin or generic, retry with more specific context:
"The draft needs to be more specific. Ground it in these details:
- Target persona for the customer quote: [specific persona from product concept]
- Key competitive differentiator: [from competitive landscape]
- Core interaction to highlight: [from core experience]
- Most important pillar to anchor messaging: [from product pillars]"
Step 4: Phase 2 -- Critique
Invoke the `arn-spark-marketing-pm` agent in **critique mode** via the Task tool, passing the model from `.arness/agent-models/spark.md` as the `model` parameter (see `plugins/arn-spar
Read more
name: arn-spark-stress-prfaq description: >- This skill should be used when the user says "prfaq", "pr faq", "pr/faq", "press release stress test", "stress prfaq", "amazon pr faq method", "test the pitch with a pr/faq", "validate concept through pr/faq", "critique press release", "pr faq stress test", "will this marketing story hold up", or wants to stress-test a product concept by drafting a compelling press release and FAQ, then adversarially critiquing it to find where the concept cracks under scrutiny. Produces a PR/FAQ report with the full draft, adversarial questions, crack point analysis, and recommended concept updates. version: 1.0.0
Arness Spark Stress PR/FAQ
Stress-test a product concept using Amazon's PR/FAQ method. This technique forces the product concept through two filters:
1. **Draft phase:** A marketing PM agent writes the best possible public story -- a compelling press release, customer FAQ, and internal FAQ. If the press release is unconvincing, the product concept likely has clarity problems. 2. **Critique phase:** The same marketing PM agent (in a separate invocation, with no memory of drafting) adversarially attacks the draft -- finding questions the PR dodges, identifying crack points where claims exceed substance, and recommending concept changes.
The two phases use **separate agent invocations** to prevent rubber-stamping. A critic who remembers being the drafter unconsciously defends what it wrote. Separate invocations force genuine adversarial evaluation.
The product concept is read but never modified -- all recommendations are captured in the PR/FAQ report for later review.
Prerequisites
Configuration Check
1. Read the project's `CLAUDE.md` and check for a `## Arness` section 2. If found, extract the configured **Vision directory** and **Reports directory** paths 3. If no `## Arness` section exists or Arness Spark fields are missing, inform the user: "Arness Spark is not configured for this project yet. Run `/arn-brainstorming` to get started — it will set everything up automatically." Do not proceed without it. 4. If the Reports directory does not exist, create it with `mkdir -p <reports-dir>/stress-tests/`
Data Availability
| Artifact | Status | Location | Fallback | |----------|--------|----------|----------| | Product concept | REQUIRED | `<vision-dir>/product-concept.md` | Cannot proceed without it -- suggest running `/arn-spark-discover` | | Product pillars | ENRICHES | Product Pillars section of product concept | Draft messaging is less focused; critique has fewer anchors | | Competitive landscape | ENRICHES | Competitive Landscape section of product concept | Draft positioning is less grounded in market context | | Target personas | ENRICHES | Target Personas section of product concept | Customer quote in press release is less persona-specific |
**Standard fallback cascade:**
If no product concept exists:
Ask (using `AskUserQuestion`): **"No product concept found. The PR/FAQ stress test needs a product concept to draft and critique messaging for. How would you like to proceed?"** 1. Run `/arn-spark-discover` to create a product concept first 2. Describe the product now (I will conduct the PR/FAQ from your description) 3. Skip the PR/FAQ stress test
If the user chooses option 2, collect a product description and proceed with a reduced-fidelity test (note in the report that the test was based on a verbal description rather than a full product concept).
Workflow
Step 1: Load References
Load the PR/FAQ workflow and report template: > Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-spark-stress-prfaq/references/prfaq-workflow.md` > Read `${CLAUDE_PLUGIN_ROOT}/skills/arn-spark-stress-prfaq/references/prfaq-report-template.md`
Step 2: Read Product Concept and Extract Context
Read the product concept from `<vision-dir>/product-concept.md`. Extract:
- Full product concept (both draft and critique need the complete document)
- Product pillars (anchors messaging in draft, tested for sincerity in critique)
- Competitive landscape (grounds positioning in real market context)
- Target personas (for realistic customer quote in press release)
- Core experience (primary material for the solution paragraph)
Step 3: Phase 1 -- Draft
Invoke the `arn-spark-marketing-pm` agent in **draft mode** via the Task tool, passing the model from `.arness/agent-models/spark.md` as the `model` parameter (see `plugins/arn-spark/skills/arn-spark-ensure-config/references/ensure-config.md` "Dispatch convention" for fallback). Context:
--- PRODUCT CONCEPT --- [full product concept document] --- END PRODUCT CONCEPT ---
--- PRODUCT PILLARS --- [product pillars section] --- END PRODUCT PILLARS ---
--- OPERATING MODE --- draft --- END OPERATING MODE ---
Receive back the complete draft: press release (400-600 words), customer FAQ (5-8 entries), internal FAQ (3-5 entries).
**Quality check before proceeding:**
- Press release must be 400-600 words and compelling (would a reporter find this newsworthy? Does it lead with customer value, not features?)
- Customer FAQ answers must be concrete with specific examples, not evasive hedging
- Internal FAQ questions must address genuine tensions or risky claims in the press release
- Customer quote must use colloquial language and personal emotion, not corporate phrasing
If the draft is too thin or generic, retry with more specific context:
"The draft needs to be more specific. Ground it in these details:
- Target persona for the customer quote: [specific persona from product concept]
- Key competitive differentiator: [from competitive landscape]
- Core interaction to highlight: [from core experience]
- Most important pillar to anchor messaging: [from product pillars]"
Step 4: Phase 2 -- Critique
Invoke the `arn-spark-marketing-pm` agent in **critique mode** via the Task tool, passing the model from `.arness/agent-models/spark.md` as the `model` parameter (see `plugins/arn-spar
Showing the first part of this file.
Arness — H not required. Structured AI workflows for Claude Code. From first idea to production deploy. Seven entry commands. That's all you need to remember.
Repo: AppsVortex/arness
Other skills on arness.
- /arn-assessing
This skill should be used when the user says "assessing", "arness assessing", "assess", "assess codebase", "technical review", "codebase assessment", "find improvements", "what should I improve", "tech debt review", "pattern compliance check", "codebase health check",
Open skill - /arn-code-assess
This skill should be used when the user says "arness code assess", "arn-code-assess", "assess codebase", "technical review", "codebase assessment", "find improvements", "what should I improve", "tech debt review", "tech debt audit", "pattern compliance check", "codebase health
Open skill - /arn-code-batch-cve-fix
This skill should be used when the user says "fix CVEs", "patch vulnerabilities", "apply security patches", "resolve security advisories", "batch CVE fix", "patch dependencies", "fix security findings", "remediate CVEs", "apply CVE fixes", "batch fix vulnerabilities", "resolve
Open skill - /arn-code-batch-cve-scan
This skill should be used when the user says "scan for CVEs", "CVE scan", "check for vulnerabilities", "find vulnerabilities", "check security advisories", "dependabot triage", "dependabot scan", "scan dependencies for security issues", "audit dependencies", "vulnerability
Open skill - /arn-code-batch-implement
This skill should be used when the user says "batch implement", "implement all", "batch execution", "implement all features", "parallel implement", "implement in parallel", "arness batch implement", "arn-code-batch-implement", "run batch implementation", "implement everything",
Open skill - /arn-code-batch-merge
This skill should be used when the user says "batch merge", "merge batch", "arness batch merge", "arn-code-batch-merge", "merge all PRs", "merge batch PRs", "merge the batch", "merge implemented features", "batch merge PRs", "merge open PRs", "merge all feature PRs", "combine
Open skill

