Agent skill

Consulting Writing

by alfadur7 in alfadur7/llm-wiki-newsroom

Management-consulting writing craft — McKinsey SCR (Situation·Complication·Resolution), Minto Pyramid/MECE, BCG bold-bullet executive summary, so-what upfront, numeric precision, Forrester Landscape.

MITAuto-check passedKnowledge Management

Install Consulting Writing

skills CLI
$ npx skills add alfadur7/llm-wiki-newsroom --skill consulting-writing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alfadur7/llm-wiki-newsroom consulting-writing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroom.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/consulting-writing .claude/skills/consulting-writing && rm -rf skills-src

Use ~/.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/

Facts

Skill name
consulting-writing
GitHub stars
171
Token cost
~1.1k tokens
SKILL.md length
457 words
Files
3
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Management-consulting writing craft — McKinsey SCR (Situation·Complication·Resolution), Minto Pyramid/MECE, BCG bold-bullet executive summary, so-what upfront, numeric precision, Forrester Landscape.

  • Reviewing an executive summary for decision-makers
  • SKILL.md covers MECE completeness…, Executive Summary structure… and Sources
  • Runs Python scripts from its folder
  • A roll-up/landscape overview

What it does

Consulting Writing is an agent skill from alfadur7/llm-wiki-newsroom. Management-consulting writing craft — McKinsey SCR (Situation·Complication·Resolution), Minto Pyramid/MECE, BCG bold-bullet executive summary, so-what upfront, numeric precision, Forrester Landscape. Use when writing or reviewing an executive summary for decision-makers or a roll-up/landscape overview, or when a conclusion-first compressed structure, MECE completeness, or bold-bullet summary is needed.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `checks.py` and `criteria.json`).

It sits in Knowledge Management, covering Summarization. The repository describes itself as: Harness engineering applied to knowledge production: a self-evolving multi-agent newsroom that turns your documents into a cross-linked markdown wiki. A "reground" loop pulls… The licence is MIT.

When your agent uses it

  • Reviewing an executive summary for decision-makers
  • A roll-up/landscape overview
  • A conclusion-first compressed structure
  • MECE completeness

Example prompts

  • “/consulting-writing”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 03173ce. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Ships script files (Python), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • slideworks.io
    • insight7.io
    • en.wikipedia.org
    • starsight.biz

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Consulting Writing loads about 1.1k tokens when it runs. Until then it costs about 106 tokens; SKILL.md has 457 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~106
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from alfadur7/llm-wiki-newsroom at commit 03173ce, republished under its MIT licence (© alfadur7). 457 words, ~1,095 tokens.

Download SKILL.mdSave it as .claude/skills/consulting-writing/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
consulting-writing
description
Management-consulting writing craft — McKinsey SCR (Situation·Complication·Resolution), Minto Pyramid/MECE, BCG bold-bullet executive summary, so-what upfront, numeric precision, Forrester Landscape. Use when writing or reviewing an executive summary for decision-makers or a roll-up/landscape overview, or when a conclusion-first compressed structure, MECE completeness, or bold-bullet summary is needed.

consulting-writing

Writing craft drawn from management-consulting deliverables — the executive-summary / pyramid structure that compresses a complex domain for decision-makers, and the MECE completeness of a roll-up. criteria.json is the SoT for each criterion's definition, comparator, and source; shared parsing for the deterministic checks is orchestrator-injected (the skill is content-type-agnostic). Examples are illustrative of the target English prose.

MECE completeness (con.mece-axes · con.mece-clusters)

A roll-up document must cover its subitems with no overlap and no gaps — the MECE principle separates a set of items into subsets that are "mutually exclusive (ME) and collectively exhaustive (CE)." Group many items under 2–4 top axes, place every item under at least one axis, and put anything that fits nowhere into an explicit residual (기타 / "other") axis. Every subunit (cluster, theme, …) must appear in the roll-up (collectively exhaustive — no subunit dropped).

Executive Summary structure (con.scr · con.so-what · con.bold-bullet · con.numeric-precision)

The intro craft that compresses a complex domain for a decision-maker. Resists deterministic measurement (judge=M, qualitative review); the source techniques shared by author and reviewer:

  • SCR (con.scr) — develop the intro as Situation → Complication → Resolution (McKinsey). e.g. ✅ "Market share fell 8% year over year (Situation). A competitor entered at a 15% lower price (Complication). We respond by repositioning as premium (Resolution)." / ❌ "The market environment is difficult and improvement is needed" (Situation·Complication·Resolution undifferentiated)
  • So-what upfront (con.so-what) — lead with the conclusion (the key implication), not a long description or preamble. e.g. ✅ "We can cut indirect costs by ₩2B per year — labor, supply waste, and process inefficiency are the drivers" (conclusion first) / ❌ "We analyzed three factors affecting profitability…" (description first)
  • Bold-bullet (con.bold-bullet) — build metric runs as a bold key-claim heading + supporting bullets, so the scannable takeaway is the bold line (BCG executive-summary standard: lead with the "so what", evidence below). e.g. ✅ "Market consolidation drives customer acquisition cost up 34% per year — Q2 three-way merger shrinks the vendor pool / pressure on the procurement team's volume discounts" (bold conclusion + grounds) / ❌ "The market is changing / competitors are consolidating / customers want better prices" (flat bullets, no conclusion)
  • Numeric precision (con.numeric-precision) — support claims with concrete numbers (amount·date·%·proper noun) instead of vague quantifiers. e.g. ✅ "Revenue grows 12% through Q3 2026, adding ₩4.5B" / ❌ "Revenue will rise significantly going forward" (abstract quantifier)
  • Numeric density (con.numeric-density) — do not overpack a paragraph with numbers; isolate key numbers in bold-bullets so they are not buried (deterministic measurement — per-paragraph number-token ceiling, threshold injected by manifest).
Show full SKILL.md (67 more words)Show less

How each technique maps to a specific page/section is defined by the .claude/layers/ content-type guides.

Sources

Each URL points to the relevant page as of the last verification.

© alfadur7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files in .claude/skills/consulting-writing of alfadur7/llm-wiki-newsroom.

  • SKILL.md
  • checks.py
  • criteria.json

Open the folder on GitHubat commit 03173ce

Compare with similar skills

Consulting Writing 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.

Consulting Writing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Consulting Writing this skillalfadur7/llm-wiki-newsroom171—~1.1kAutomated safety check: PassMIT
YouTube Transcript FetcherZeroPointRepo/youtube-skills1k1 repos~1.1kAutomated safety check: PassMIT
YouTube Video TranscriptZeroPointRepo/youtube-skills1k1 repos~1.1kAutomated safety check: PassMIT
Youtube Transcriptbadlogic/pi-skills2.6k1 repos~179Automated safety check: PassMIT
Video Lenskar2phi/video-lens113—~8.2kAutomated safety check: NotesMIT
Reading Digestyuque/yuque-ecosystem230—~1.3kAutomated safety check: PassMIT

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Questions about Consulting Writing

What does Consulting Writing do?

Management-consulting writing craft — McKinsey SCR (Situation·Complication·Resolution), Minto Pyramid/MECE, BCG bold-bullet executive summary, so-what upfront, numeric precision, Forrester Landscape. Consulting Writing is an agent skill from alfadur7/llm-wiki-newsroom. Management-consulting writing craft — McKinsey SCR (Situation·Complication·Resolution), Minto Pyramid/MECE, BCG bold-bullet executive summary, so-what upfront, numeric precision, Forrester Landscape.

When should I use Consulting Writing?

Consulting Writing fits situations like: reviewing an executive summary for decision-makers; A roll-up/landscape overview; A conclusion-first compressed structure; MECE completeness.

How do I install Consulting Writing in Claude Code?

Run `npx skills add alfadur7/llm-wiki-newsroom --skill consulting-writing -a claude-code`. Or copy the skill folder (.claude/skills/consulting-writing in alfadur7/llm-wiki-newsroom) into .claude/skills/consulting-writing in your project. Claude Code loads it when a task matches its description.

How do I install Consulting Writing in Codex?

Run `npx skills add alfadur7/llm-wiki-newsroom --skill consulting-writing -a codex`. Or copy the skill folder (.claude/skills/consulting-writing in alfadur7/llm-wiki-newsroom) into .agents/skills/consulting-writing in your project. Codex loads it when a task matches its description.

Can I use Consulting Writing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alfadur7/llm-wiki-newsroom --skill consulting-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/consulting-writing, .gemini/skills/consulting-writing, .github/skills/consulting-writing and .opencode/skills/consulting-writing in your project.

What does Consulting Writing need to run?

Going by SKILL.md and its folder, Consulting Writing needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Consulting Writing access the network?

SKILL.md names 4 domains. As links in the text: slideworks.io, insight7.io, en.wikipedia.org and starsight.biz. This is read from the text; nothing was executed.

Is Consulting Writing safe to install?

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.

What licence does Consulting Writing use?

Consulting Writing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Consulting Writing use?

About 1.1k tokens (SKILL.md is roughly 4.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Consulting Writing?

Skills that share tags, products or a category with Consulting Writing: YouTube Transcript Fetcher (ZeroPointRepo/youtube-skills, 1k stars), YouTube Video Transcript (ZeroPointRepo/youtube-skills, 1k stars), Youtube Transcript (badlogic/pi-skills, 2.6k stars) and Video Lens (kar2phi/video-lens, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Consulting Writing?

alfadur7 (a GitHub user) maintains it in alfadur7/llm-wiki-newsroom, which has 171 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 5, 2026.

Source: alfadur7/llm-wiki-newsroom on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.