skills/benchmark-methodology/SKILL.md
Use after competitive-platform-analysis has produced a tiered competitor set. Scores each competitor across nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client's strategic tension) with explicit 1–5 rubrics and a tension-plot. Precedes competitive-report-structure.
npx skillsauth add affaan-m/everything-claude-code benchmark-methodologyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Use this skill to turn a scoped competitor set into comparable, defensible scores. Each competitor is assessed on the same nine dimensions, with explicit 1–5 rubrics, then captured in a uniform profile card. Consistency is the point: scores are only useful if the same evidence would earn the same number for any competitor.
Before scoring, establish the client's positioning brief. It supplies:
The client competes on a specific tension held across two poles, not on service breadth. The dimensions are weighted to reflect that moat. Two dimensions — the tension poles — are scored separately and never averaged together, because the client's strategic question is precisely whether a rival achieves both simultaneously.
Weights guide synthesis emphasis, not a single blended score (avoid a false composite — see Bias controls). Sum = 100%.
Anchor every score to observable evidence. Generic descriptors below; adapt the specifics per dimension but keep the level meaning constant.
Read the axis labels and their 1/3/5 anchors from the client's positioning brief. Example anchors for a memorability × credibility tension:
Plot competitors on the tension 2×2. The client's target quadrant is named in the positioning brief. Who else occupies that quadrant is the single most important finding of the benchmark.
For each competitor, work the dimensions in this order (cheapest signal first):
What to record per dimension: the score, one-line justification, and the source link/screenshot that earned it. No score without evidence.
Produce one card per profiled competitor — the atomic unit the report assembles from:
## <Competitor name>
- **Profile / Tier:** <positioning stance · specialization · size band> / <Direct | Adjacent | Aspirational>
- **One-liner:** <how they position themselves, in their words>
- **Model / size / geography:** <solo|micro|boutique> · <region> · <pricing/engagement model>
- **Notable clients / evidence:** <named, with proven/asserted tag>
### Dimension scores
| Dimension | Score (1–5) | Justification (1 line) | Source |
|---|---|---|---|
| Positioning clarity & distinctiveness | | | |
| Brand voice / verbal distinctiveness | | | |
| Visual identity & site craft | | | |
| Service offer & packaging | | | |
| Evidence & credibility | | | |
| Enterprise-readiness / commercial maturity | | | |
| Thought leadership / content presence | | | |
| Pricing transparency & engagement model | | | |
### Tension plot
- **[Axis 1 from positioning brief]:** <1–5> — <why>
- **[Axis 2 from positioning brief]:** <1–5> — <why>
- **Quadrant:** <high/high | high-1/low-2 | low-1/high-2 | low/low>
### Read for [client]
- **Strength to learn from:** <…>
- **Weakness to exploit / white-space it exposes:** <…>
- **Threat to [client]:** <…>
Hand the completed cards plus the tension plot to competitive-report-structure.
competitive-platform-analysis — the prerequisite; produces the tiered competitor set this skill scores.competitive-report-structure — the next step; assembles the scored profile cards into a client-deliverable report.development
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
development
Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.
tools
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.
data-ai
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.