Best fit
- Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins.
affaan-m/ECC
Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins. Decides who counts as a competitor, which tier they belong to, and which sources to mine. First step in the three-skill competitive pipeline; precedes benchmark-methodology.
npx skills add https://github.com/affaan-m/ECC --skill "skills/competitive-platform-analysis"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
Use this skill to decide who to benchmark and where to find them before any scoring begins. A competitive analysis is only as good as its frame: the wrong set makes the client look either unbeatable or doomed. The goal is a defensible, decision-relevant set — not an exhaustive c…
npx skills add https://github.com/affaan-m/ECC --skill "skills/competitive-platform-analysis"The pinned source contains enough sections and task detail for a source-grounded deep guide; automated content is still not an independent test.
1,460 source words · 11 usable sections
Best fit
Research evidence
Research method
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
A lightweight pre-filter to decide who graduates into full benchmarking. Score 1–5; keep candidates that score high on either distinctiveness or credibility — the client's strategic tension means both poles are instructive.
A scoped, tiered competitor set (typically 10–18 candidates → 8–12 profiled), each tagged with its axis positions, tier, and source links, ready to hand to benchmark-methodology.
About to start a competitive benchmarking project and need to define the competitor set first.
Before scoping the set, establish the client's positioning brief. If you don't already have it, run a short brand-discovery interview to elicit it — do not invent one and do not scope the set blind. The brief supplies:
For each candidate, capture these axes — they decide both inclusion and tier:
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Source-grounded prompt
Use for a research task while explicitly checking the source sections.
Use competitive-platform-analysis for this research task: [task]. Inputs and constraints: [details]. Work through these pinned SKILL.md sections: “Scoring matrix template (selection stage)”, “Output of this stage”, “When to Activate”, “Client positioning brief (establish first)”, “Selection criteria”. Cite the concrete requirements that shape each step, do not invent capabilities absent from the source, and verify the result against: [acceptance criteria].
Research checklist
The source section “Scoring matrix template (selection stage)” has been checked.
The source section “Output of this stage” has been checked.
The source section “When to Activate” has been checked.
The source section “Client positioning brief (establish first)” has been checked.
Source output checked: A scoped, tiered competitor set (typically 10–18 candidates → 8–12 profiled), each tagged with its axis positions, tier, and source links, ready to hand to benchmark-methodology.
Source output checked: Scenario: A boutique brand-identity studio (2-person, EU-remote, productized sprints, contrarian/manifesto-driven aesthetic) wants to scope its competitive set before benchmarking. The strategic tension from the positio…
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When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
A separate implementation from coreyhaines31/marketingskills; compare its source, maintenance signals, and permission requirements.
Open source detailWhen the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers o
A separate implementation from coreyhaines31/marketingskills; compare its source, maintenance signals, and permission requirements.
Open source detailUse when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
Use this skill to decide who to benchmark and where to find them before any scoring begins. A competitive analysis is only as good as its frame: the wrong set makes the client look either unbeatable or doomed. The goal is a defensible, decision-relevant set — not an exhaustive c…
The source record exposes this install command: npx skills add https://github.com/affaan-m/ECC --skill "skills/competitive-platform-analysis". Inspect the command and pinned source before running it.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
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These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
When the user wants to plan, design, or implement an A/B test or experiment, or build a growth experimentation program. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," "hypothesis," "should I test this," "which version is better," "test two versions," "statistical significance," "how long should I run this test," "growth experiments," "experiment velocity," "experiment backlog," "ICE score," "experimentation program
When the user wants to reduce churn, build cancellation flows, set up save offers, recover failed payments, or implement retention strategies. Also use when the user mentions 'churn,' 'cancel flow,' 'offboarding,' 'save offer,' 'dunning,' 'failed payment recovery,' 'win-back,' 'retention,' 'exit survey,' 'pause subscription,' 'involuntary churn,' 'people keep canceling,' 'churn rate is too high,' 'how do I keep users,' or 'customers are leaving.' Use this whenever someone is losing subscribers o
Use when the user says "review the design", "check the UI", or wants a comprehensive UI/UX review. Uses a 7-phase methodology covering interaction, responsiveness, accessibility, and more.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or research. No authentication required. Query by metadata, visualize in browser, check licenses.
Use this skill to decide who to benchmark and where to find them before any scoring begins. A competitive analysis is only as good as its frame: the wrong set makes the client look either unbeatable or doomed. The goal is a defensible, decision-relevant set — not an exhaustive census.
Before scoping the set, establish the client's positioning brief. If you don't already have it, run a short brand-discovery interview to elicit it — do not invent one and do not scope the set blind. The brief supplies:
Do not proceed without the positioning brief. A competitor list scoped without the client's lens is noise, not intelligence. The scoping consequence in particular determines which competitors are strong rivals (those that contest the client's moat) vs. merely overlapping on service menu.
For each candidate, capture these axes — they decide both inclusion and tier:
Don't sort competitors into niche-specific buckets; sort them along a few generic axes so the landscape isn't skewed toward one archetype. These axes apply to any creative-service market (design, motion, copywriting, branding, content, film, etc.). Aim for breadth across each axis first, then prune to the most instructive.
Plot each candidate on the relevant axes; a competitor is direct when it sits near the client on positioning, specialization, size, and market at once.
Group the final set into three tiers — this structure carries through to the report:
Match the source to the dimension you need. The platform types below are generic; substitute the ones native to the client's niche (e.g. Dribbble/Behance for design, showreel/Vimeo for motion, writing samples/published work for copy):
Always verify claims across at least two sources before treating a competitor attribute as fact (self-reported site copy ≠ verified outcome). Carry an adversarial-verification discipline into every profile.
A lightweight pre-filter to decide who graduates into full benchmarking. Score 1–5; keep candidates that score high on either distinctiveness or credibility — the client's strategic tension means both poles are instructive.
| Candidate | Positioning stance | Specialization | Size band | Tier | Offer overlap (1–5) | Distinctiveness (1–5) | Commercial credibility (1–5) | Craft proximity (1–5) | Include? |
|---|
Rules of thumb (apply per the client's scoping consequence in the positioning brief):
A scoped, tiered competitor set (typically 10–18 candidates → 8–12 profiled),
each tagged with its axis positions, tier, and source links, ready to hand to
benchmark-methodology.
Scenario: A boutique brand-identity studio (2-person, EU-remote, productized sprints, contrarian/manifesto-driven aesthetic) wants to scope its competitive set before benchmarking. The strategic tension from the positioning brief is memorability × hireability.
Step 1 — eight-axis population (sample candidates):
| Candidate | Positioning stance | Specialization | Size band | Engagement | Distinctiveness | Evidence model | Brand strength | Market |
|---|---|---|---|---|---|---|---|---|
| Studio A | brand-led / editorial | identity only | micro | productized | contrarian | aesthetic-led | cult | global-remote |
| Studio B | capability-led | broad DS+motion | boutique | bespoke | conventional | outcome-led | interchangeable | US |
| Agency C | capability-led | brand+digital | mid-size | retainer | conventional | outcome-led | interchangeable | EU |
| Freelancer D | brand-led | brand voice only | solo | day-rate | editorial | aesthetic-led | ownable | global |
| Studio E | brand-led | brand strategy | micro | productized | manifesto-driven | outcome-led | cult | EU-remote |
Step 2 — pre-filter scoring (client scoping consequence: weight distinctiveness because the client's moat is POV-first, not capability breadth):
| Candidate | Offer overlap (1–5) | Distinctiveness (1–5) | Commercial credibility (1–5) | Craft proximity (1–5) | Tier | Include? |
|---|---|---|---|---|---|---|
| Studio A | 5 | 5 | 3 | 5 | Direct | ✓ must-profile |
| Studio B | 3 | 2 | 5 | 3 | Adjacent | ✓ credibility anchor |
| Agency C | 2 | 1 | 5 | 2 | Aspirational | ✓ scale reference |
| Freelancer D | 4 | 4 | 2 | 4 | Direct | ✓ cautionary case |
| Studio E | 5 | 5 | 4 | 4 | Direct | ✓ must-profile |
Step 3 — output handed to benchmark-methodology:
Five candidates (3 Direct, 1 Adjacent, 1 Aspirational), each tagged with
axis positions, tier, and source links. Studio A and Studio E are the
sharpest head-to-head rivals; Freelancer D is the "memorable but
un-hireable" cautionary case to learn from.
brand-discovery — use first to establish the positioning brief and strategic tension that scopes the competitor set.benchmark-methodology — the next step; takes the tiered set and scores each competitor across nine dimensions.