Competitive Teardown
borghei/Claude-Skills
Systematic competitor analysis covering product teardowns, 12-dimension scoring rubric, feature comparison matrices, SWOT analysis, pricing model deconstruction, UX audits, and strategic action…
Score a scoped competitor set into comparable profile cards: nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing…
$ npx skills add affaan-m/ECC --skill benchmark-methodology -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install affaan-m/ECC benchmark-methodology --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/benchmark-methodology .claude/skills/benchmark-methodology && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "benchmark-methodology" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/benchmark-methodology into .claude/skills/benchmark-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-methodology", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/affaan-m/ECC/tree/main/skills/benchmark-methodologyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add affaan-m/ECC --skill benchmark-methodology -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install affaan-m/ECC benchmark-methodology --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/benchmark-methodology .agents/skills/benchmark-methodology && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "benchmark-methodology" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/benchmark-methodology into .agents/skills/benchmark-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-methodology", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill benchmark-methodology -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install affaan-m/ECC benchmark-methodology --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/benchmark-methodology .cursor/skills/benchmark-methodology && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "benchmark-methodology" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/benchmark-methodology into .cursor/skills/benchmark-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-methodology", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/affaan-m/ECC.git --path skills/benchmark-methodology--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add affaan-m/ECC --skill benchmark-methodology -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install affaan-m/ECC benchmark-methodology --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/benchmark-methodology .gemini/skills/benchmark-methodology && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "benchmark-methodology" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/benchmark-methodology into .gemini/skills/benchmark-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-methodology", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install affaan-m/ECC benchmark-methodologyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add affaan-m/ECC --skill benchmark-methodology -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/benchmark-methodology .github/skills/benchmark-methodology && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "benchmark-methodology" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/benchmark-methodology into .github/skills/benchmark-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-methodology", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add affaan-m/ECC --skill benchmark-methodology -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install affaan-m/ECC benchmark-methodology --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/benchmark-methodology .opencode/skills/benchmark-methodology && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "benchmark-methodology" agent skill from https://github.com/affaan-m/ECC/tree/main/skills/benchmark-methodology into .opencode/skills/benchmark-methodology/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "benchmark-methodology", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
benchmark-methodologyScore a scoped competitor set into comparable profile cards: nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing…
Benchmark Methodology is an agent skill from affaan-m/ECC. Score a scoped competitor set into comparable profile cards: nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client tension) with 1-5 evidence-anchored rubrics and a tension 2x2 plot. Use when benchmarking or scoring competitors, building a competitive comparison matrix, or grading rival positioning before assembling the report; runs after competitive-platform-analysis and before competitive-report-structure.
Its SKILL.md is about 2.5k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Education, covering Quizzes and assessments and Positioning and messaging. The repository describes itself as: The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond. The licence is MIT.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4eb71d9. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Benchmark Methodology loads about 2.5k tokens when it runs. Until then it costs about 131 tokens; SKILL.md has 1,037 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from affaan-m/ECC at commit 4eb71d9, republished under its MIT licence (© affaan-m). 1,037 words, ~2,457 tokens.
.claude/skills/benchmark-methodology/SKILL.md (or your agent's skills folder).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.© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/benchmark-methodology of affaan-m/ECC.
Open the folder on GitHubat commit 4eb71d9
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in affaan-m/ECC, which our catalogue first saw on October 7, 2026.
Benchmark Methodology next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Benchmark Methodology this skillaffaan-m/ECC | 276k | 1 repos | ~2.5k | Automated safety check: Pass | MIT | |
| Competitive Teardownborghei/Claude-Skills | 891 | — | ~5.4k | Automated safety check: Pass | MIT | |
| DeepTutor CLIHKUDS/DeepTutor | 41k | — | ~2.8k | Automated safety check: Pass | Apache-2.0 | |
| AI Engineering Placement Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2k | Automated safety check: Pass | MIT | |
| Codebase to Coursezarazhangrui/codebase-to-course | 5.7k | — | ~4.4k | Automated safety check: Pass | None | |
| AI Engineering Phase Quizrohitg00/ai-engineering-from-scratch | 66k | — | ~2.1k | Automated safety check: Pass | MIT |
borghei/Claude-Skills
Systematic competitor analysis covering product teardowns, 12-dimension scoring rubric, feature comparison matrices, SWOT analysis, pricing model deconstruction, UX audits, and strategic action…
HKUDS/DeepTutor
Teaches the agent to set up and run DeepTutor from the command line: chat and capabilities, knowledge bases, partners, memory, sessions, notebooks and the server or Web app.
rohitg00/ai-engineering-from-scratch
Runs a 10-question quiz across five areas to place a learner in the AI Engineering from Scratch curriculum, so they skip what they already know.
zarazhangrui/codebase-to-course
Turns a codebase into an interactive single-page HTML course for non-technical learners, with scroll modules, animated diagrams, quizzes and plain-English code translations.
rohitg00/ai-engineering-from-scratch
Quizzes you on a completed phase of the AI Engineering from Scratch course, taking a phase number or name and mapping it to that phase's directory.
K-Dense-AI/claude-scientific-writer
Provide qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls.
affaan-m/ECC
Audits your installed Claude skills and commands for quality, with a quick mode for recently changed skills and a full mode that evaluates all of them through subagents.
affaan-m/ECC
Ingests, indexes, searches, edits and monitors video, audio and live streams through the VideoDB Python SDK, returning stream links, clips and timestamps.
affaan-m/ECC
Route broad documentation-governance requests to existing ECC skills and run an opt-in, read-only audit of mapped documentation roles, links, ADR indexes, and evidence references.
affaan-m/ECC
Scans installed skills for principles that recur across them and proposes rule-file changes: append, revise, add a section, create a file or leave as covered.
affaan-m/ECC
Builds DRAFT counterparty agreements from one markdown template and a small JSON spec per party, with clauses picked by the party's role.
affaan-m/ECC
Measures whether agents actually follow a skill, rule or agent definition by generating scenarios at three strictness levels and scoring tool-call traces.
Categories
Score a scoped competitor set into comparable profile cards: nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing…. Benchmark Methodology is an agent skill from affaan-m/ECC. Score a scoped competitor set into comparable profile cards: nine weighted dimensions (positioning, voice, visual craft, offer packaging, evidence, enterprise-readiness, thought leadership, pricing, client tension) with 1-5 evidence-anchored rubrics and a tension 2x2 plot.
Benchmark Methodology fits situations like: scoring competitors; building a competitive comparison matrix; grading rival positioning before assembling the report; runs after competitive-platform-analysis and before competitive-report-structure.
Run `npx skills add affaan-m/ECC --skill benchmark-methodology -a claude-code`. Or copy the skill folder (skills/benchmark-methodology in affaan-m/ECC) into .claude/skills/benchmark-methodology in your project. Claude Code loads it when a task matches its description.
Run `npx skills add affaan-m/ECC --skill benchmark-methodology -a codex`. Or copy the skill folder (skills/benchmark-methodology in affaan-m/ECC) into .agents/skills/benchmark-methodology in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill benchmark-methodology -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/benchmark-methodology, .gemini/skills/benchmark-methodology, .github/skills/benchmark-methodology and .opencode/skills/benchmark-methodology in your project.
SKILL.md names no scripts, command-line tools or credentials: Benchmark Methodology is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Benchmark Methodology is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.5k tokens (SKILL.md is roughly 9.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Benchmark Methodology: Competitive Teardown (borghei/Claude-Skills, 891 stars), DeepTutor CLI (HKUDS/DeepTutor, 41k stars), AI Engineering Placement Quiz (rohitg00/ai-engineering-from-scratch, 66k stars) and Codebase to Course (zarazhangrui/codebase-to-course, 5.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 276,111 GitHub stars. The repository holds 683 skills in this directory. The repository was last updated on October 10, 2026.
Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.