Source profileQuality 70/100

affaan-m/ECC/skills/competitive-platform-analysis/SKILL.md

competitive-platform-analysis

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.

Source repository stars
234,327
Declared platforms
0
Static risk flags
0
Last source update
2026-07-27
Source checked
2026-07-28

Decision brief

What it does—and where it fits

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…

Best for

  • Use when scoping a competitive landscape — identifying, categorising, and score-filtering a competitor set before any benchmarking begins.

Not for

  • Scoping without a positioning brief. A competitor list built without the client's lens is noise. The brief determines what counts as a real rival.
  • Listing every similar company. The goal is a defensible 10–18 candidate set, not a census. Breadth without pruning makes benchmarking unmanageable.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/affaan-m/ECC --skill "skills/competitive-platform-analysis"
Safe inspection promptEditorial

Inspect the Agent Skill "competitive-platform-analysis" from https://github.com/affaan-m/ECC/blob/4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38/skills/competitive-platform-analysis/SKILL.md at commit 4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Scoring matrix template (selection stage)

    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.

    High distinctiveness and high credibility → must-profile (proves theHigh distinctiveness, low credibility → cautionary case (memorable butHigh credibility, low distinctiveness → "competent but forgettable" mass the
  2. 02

    Output of this stage

    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.

    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.
  3. 03

    When to Activate

    About to start a competitive benchmarking project and need to define the competitor set first.

    About to start a competitive benchmarking project and need to define the competitor set first.Unsure which companies belong in Direct / Adjacent / Aspirational tiers.Need a defensible, pruned scope for a market landscape report.
  4. 04

    Client positioning brief (establish 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:

    Identity / aesthetic register — what kind of studio or company this is andOffer — what services or products it delivers.Target clients — who it sells to.
  5. 05

    Selection criteria

    For each candidate, capture these axes — they decide both inclusion and tier:

    Size / model — solo, micro-studio (2–8), boutique (sub-30), mid-sizeNiche / specialization — how closely the candidate's focus overlaps withGeography / market — EU vs US vs global-remote; language; time-zone reach.

Permission review

Static risk signals and limitations

No configured static risk pattern was detected

This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score70/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars234,327SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
affaan-m/ECC
Skill path
skills/competitive-platform-analysis/SKILL.md
Commit
4e973d3eaf92d97f8d2e2d8abb39d8bdc8711b38
License
MIT
Collected
2026-07-28
Default branch
main
View the original SKILL.md

Competitive Platform Analysis

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.

When to Activate

  • About to start a competitive benchmarking project and need to define the competitor set first.
  • Unsure which companies belong in Direct / Adjacent / Aspirational tiers.
  • Need a defensible, pruned scope for a market landscape report.
  • Has a positioning brief and wants to identify who contests that position.
  • First step before running benchmark-methodology.

Client positioning brief (establish 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:

  • Identity / aesthetic register — what kind of studio or company this is and how it presents itself.
  • Offer — what services or products it delivers.
  • Target clients — who it sells to.
  • Differentiator — the moat or positioning argument the client believes in.
  • Scoping consequence — the implication for how to weight competitors (e.g., prioritize by distinctiveness vs. capability overlap vs. price).
  • Strategic tension — the paired axes that define the client's white-space (e.g., memorability × hireability).

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.

Selection criteria

For each candidate, capture these axes — they decide both inclusion and tier:

  • Size / model — solo, micro-studio (2–8), boutique (sub-30), mid-size agency. Match the client's own band; same-band studios are the realistic head-to-head set.
  • Niche / specialization — how closely the candidate's focus overlaps with the client's offer. Tighter overlap = more direct.
  • Geography / market — EU vs US vs global-remote; language; time-zone reach. Note whether they win the same clients the client targets.
  • Pricing & engagement model — productized sprints, retainer, project, day-rate; transparent vs "contact us". Signals positioning maturity.
  • Portfolio style — generic vs. opinionated/editorial vs. contrarian. Closer to the client's aesthetic register = more they contest the client's distinctiveness.
  • Technical depth / craft maturity — relevant if the client's credibility story includes public process work, open tooling, or documented systems.
  • Brand strength — does the studio have an ownable verbal/visual identity, or is it interchangeable? Weight this per the client's scoping consequence.

Player taxonomy — axes to populate across

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.

  1. Positioning stancebrand-led / editorial (competes on identity, voice, POV) vs capability-led (competes on craft, throughput, outcomes). Populate both poles; the client's closest mirror sits at its own end.
  2. Specializationspecialist (one tight discipline or vertical) vs generalist (broad service menu). Tighter overlap with the client's focus = more direct.
  3. Size / modelsolo / micro vs boutique vs mid-size vs enterprise-scale. Same-band players are the realistic head-to-head; larger bands are the aspirational/commercial-maturity reference.
  4. Engagement formatproductized (named sprints, audits, fixed packages) vs bespoke (custom project / retainer). Signals positioning maturity.
  5. Distinctiveness postureconventional / safe vs contrarian / manifesto-driven. The opinionated end is key for distinctiveness benchmarking in any niche.
  6. Evidence / credibility modeloutcome-led (metrics, named clients, case depth) vs aesthetic-led (portfolio, awards). Tells you how each player earns trust.
  7. Brand strength of the operatorinterchangeable vs cult / ownable identity (including senior independents who prove the "memorable solo brand" model).
  8. Market / reachlocal / regional vs global-remote; note whether they win the same clients the client targets.

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.

Competitive tiers (how the set resolves)

Group the final set into three tiers — this structure carries through to the report:

  • Direct — same band, overlapping offer, same client targets. The realistic head-to-head.
  • Adjacent — partial overlap (one capability, or a different client size) that pressures at the edges.
  • Aspirational — players the client is not competing with today but whose brand or commercial maturity sets the bar to aim at.
  • (Watch also for substitutes: no-code/AI tools, in-house teams, generalist freelancers — note as a threat vector, not a profiled competitor unless materially relevant.)

Data sources (where to look)

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):

  • Portfolio / craft platforms — craft quality, range, aesthetic register (e.g. Dribbble, Behance, Vimeo, or the niche's equivalent showcase).
  • Awards / curated showcases — craft ambition and editorial recognition; over-indexes on flashy, so cross-check commercial credibility (e.g. Awwwards, industry award lists).
  • Competitor's own site — primary source for positioning, voice, offer packaging, pricing posture, named clients, manifesto/POV.
  • LinkedIn — team size/model, founder narrative, post cadence, client logos, geography.
  • Review directories — reviews, named clients, project sizes, engagement models; strongest signal for commercial credibility and enterprise-readiness (e.g. Clutch.co or the niche's equivalent).
  • Open / public work — process repos, published samples, open creative output: depth and craft-transparency evidence.
  • Conference talks / podcasts / newsletters — thought-leadership depth and POV ownership.

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.

Scoring matrix template (selection stage)

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.

CandidatePositioning stanceSpecializationSize bandTierOffer 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):

  • High distinctiveness and high credibility → must-profile (proves the client's target tension is achievable).
  • High distinctiveness, low credibility → cautionary case (memorable but un-hireable — a potential failure mode to learn from).
  • High credibility, low distinctiveness → "competent but forgettable" mass the client defines itself against.
  • Low on both → drop unless needed for landscape breadth.

Output of this stage

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.

Anti-Patterns

  • Scoping without a positioning brief. A competitor list built without the client's lens is noise. The brief determines what counts as a real rival.
  • Listing every similar company. The goal is a defensible 10–18 candidate set, not a census. Breadth without pruning makes benchmarking unmanageable.
  • Blurring the Direct/Adjacent/Aspirational tiers. These tiers serve different strategic purposes. Mixing them produces a flat list that can't drive decisions.
  • Relying on a single source per competitor. Self-reported site copy is marketing, not fact. Verify attributes across at least two sources.
  • Jumping straight to scoring. This skill scopes and tiers the set. Benchmark-methodology handles scoring. Don't conflate the two steps.

Examples

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):

CandidatePositioning stanceSpecializationSize bandEngagementDistinctivenessEvidence modelBrand strengthMarket
Studio Abrand-led / editorialidentity onlymicroproductizedcontrarianaesthetic-ledcultglobal-remote
Studio Bcapability-ledbroad DS+motionboutiquebespokeconventionaloutcome-ledinterchangeableUS
Agency Ccapability-ledbrand+digitalmid-sizeretainerconventionaloutcome-ledinterchangeableEU
Freelancer Dbrand-ledbrand voice onlysoloday-rateeditorialaesthetic-ledownableglobal
Studio Ebrand-ledbrand strategymicroproductizedmanifesto-drivenoutcome-ledcultEU-remote

Step 2 — pre-filter scoring (client scoping consequence: weight distinctiveness because the client's moat is POV-first, not capability breadth):

CandidateOffer overlap (1–5)Distinctiveness (1–5)Commercial credibility (1–5)Craft proximity (1–5)TierInclude?
Studio A5535Direct✓ must-profile
Studio B3253Adjacent✓ credibility anchor
Agency C2152Aspirational✓ scale reference
Freelancer D4424Direct✓ cautionary case
Studio E5544Direct✓ 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.

Related Skills

  • 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.

Alternatives

Compare before choosing

Computed 10042,015

coreyhaines31/marketingskills

ab-testing

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

Computed 10042,015

coreyhaines31/marketingskills

churn-prevention

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

Computed 997

event4u-app/agent-config

design-review

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.

Computed 9831,966

K-Dense-AI/scientific-agent-skills

dask

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.