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Agent skill

Forecast Discipline

by gtmagents in gtmagents/gtm-agents

A skill your agent uses to drive consistent forecast methodology, grading, and inspection cadences.

Apache-2.0Auto-check passedSales & Support

Install Forecast Discipline

skills CLI
$ npx skills add gtmagents/gtm-agents --skill forecast-discipline -a claude-code

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

GitHub CLI
$ gh skill install gtmagents/gtm-agents forecast-discipline --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/gtmagents/gtm-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/sales-pipeline/skills/forecast-discipline .claude/skills/forecast-discipline && 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
forecast-discipline
GitHub stars
414
Used in
1 other repo
Token cost
~779 tokens
SKILL.md length
387 words
Files
1
Skills in repo
121
Repo updated
First seen
Licence
Apache-2.0

At a glance

A skill your agent uses to drive consistent forecast methodology, grading, and inspection cadences.

  • Works in 5 steps: Forecast Tiers – define commit, best… → Grading Rubric – outline inspection… → Cadence – schedule prep steps, live… → …
  • Drive consistent forecast methodology
  • SKILL.md covers When to Use, Framework, Templates and Tips, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Forecast Discipline is an agent skill from gtmagents/gtm-agents. Use to drive consistent forecast methodology, grading, and inspection cadences.

Its SKILL.md is about 780 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 Sales & Support, covering Go-to-market strategy. The repository describes itself as: Production-ready collection of GTM agents and specialized skills for claude code. Covers sales, marketing, customer success, and revenue operations workflows. The licence is Apache-2.0.

When your agent uses it

  • Drive consistent forecast methodology
  • Inspection cadences

Example prompts

  • “/forecast-discipline”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Forecast Tiers – define commit, best case, pipeline, upside with clear exit criteria.
  2. Grading Rubric – outline inspection questions and data required for each tier.
  3. Cadence – schedule prep steps, live inspections, and follow-up check-ins.
  4. Accountability – log actions, approvals, and exceptions tied to each commit change.
  5. Continuous Improvement – review accuracy vs actuals, adjust rubric/cadence quarterly.

What it can do on your machine

Read from SKILL.md and the folder at commit 78e0419. 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

    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.

  • Network

    No URLs in SKILL.md.

    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

Forecast Discipline loads about 779 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 387 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~779

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 gtmagents/gtm-agents at commit 78e0419, republished under its Apache-2.0 licence (© gtmagents). 387 words, ~779 tokens.

Download SKILL.mdSave it as .claude/skills/forecast-discipline/SKILL.md (or your agent's skills folder).
name
forecast-discipline
description
Use to drive consistent forecast methodology, grading, and inspection cadences.

Forecast Discipline Guide Skill

When to Use

  • Running weekly/monthly forecast calls.
  • Coaching managers on commit/best case criteria.
  • Aligning go-to-market teams on inspection processes.

Framework

  1. Forecast Tiers – define commit, best case, pipeline, upside with clear exit criteria.
  2. Grading Rubric – outline inspection questions and data required for each tier.
  3. Cadence – schedule prep steps, live inspections, and follow-up check-ins.
  4. Accountability – log actions, approvals, and exceptions tied to each commit change.
  5. Continuous Improvement – review accuracy vs actuals, adjust rubric/cadence quarterly.

Templates

  • Forecast call agenda + checklist.
  • Commit change request form.
  • Accuracy retro template with action items.
  • GTM Agents Inspection Worksheet – standardized questions (deal health, decision process, paper process, risk plan) @puerto/README.md#244-271.
  • KPI Guardrail Sheet – pipeline coverage, conversion %, slip rate with alert thresholds.
  • Escalation Memo Template – summary for Chief Strategy Officer when forecast misses guardrails.

Tips

  • Keep commit changes transparent and documented.
  • Incorporate MEDDIC/BANT prompts into inspection scripts.
  • Pair with CRM hygiene dashboards to ensure data supports forecast claims.
  • Mirror GTM Agents cadence: Monday management prep, Tuesday deal desk sync, Thursday exec forecast call.
  • Require written rationale for any commit movement >5% week over week.
  • If guardrail breached twice in a quarter, trigger RevOps remediation sprint (see lifecycle rip-cord procedures).
Show full SKILL.md (188 more words)Show less

GTM Agents Forecast Governance Overlay

  1. Call Structure
    • Start with KPI guardrail review (coverage, wins, slip rate) vs GTM Agents thresholds.
    • Run tiered inspection (commit → best case → upside) with standard worksheet.
    • Assign owners for each risk + resolution plan.
  2. Cadence & Artifacts
    • Weekly: manager inspections + Sales Director roll-up.
    • Bi-weekly: cross-functional sync with Marketing Director + Customer Success Manager for pipeline risks.
    • Monthly: accuracy retro + adjustments to rubric.
  3. Escalation
    • Trigger CSO briefing when coverage <3.5x or commit accuracy slips below 85%.
    • Provide summary memo using Escalation Template.

KPI Guardrails (GTM Agents Reference)

  • Pipeline coverage ≥4x for new logo, ≥3x for expansion.
  • Commit accuracy ≥90% in-quarter; warn at 85%.
  • Slip rate ≤10% QoQ; immediate review if >15%.
  • Stage hygiene: 95% of commit deals must have next steps + mutual action plan logged.

Inspection Questions (Excerpt)

  1. What changed since last call? (Deal, champion, procurement, competition)
  2. Do we have verifiable next steps and dates? Who owns them?
  3. What negative signals exist? (product gaps, budget freeze, legal hurdles)
  4. How will this impact coverage if it slips—what backfill exists?

Use these prompts in every inspection to match GTM Agents Sales Director rigor.

© gtmagents, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/sales-pipeline/skills/forecast-discipline of gtmagents/gtm-agents.

Open the folder on GitHubat commit 78e0419

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in gtmagents/gtm-agents, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Forecast Discipline 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.

Forecast Discipline compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Forecast Discipline this skillgtmagents/gtm-agents4141 repos~779Automated safety check: PassApache-2.0
Ecommerce Growth StrategyLeoYeAI/openclaw-master-skills2.2k1 repos~5.5kAutomated safety check: PassMIT
Sales Playbookespennilsen/pi122—~781Automated safety check: PassMIT
Chief Revenue Officercbrock84/headcount2k—~1.4kAutomated safety check: PassMIT
Gtm Competitive Battlecard Writercriptogus/agent-evolve-network288—~551Automated safety check: PassCC-BY-SA-4.0
Discount Marketing Strategykostja94/marketing-skills1k—~2kAutomated safety check: PassMIT

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Categories

Questions about Forecast Discipline

What does Forecast Discipline do?

A skill your agent uses to drive consistent forecast methodology, grading, and inspection cadences. Forecast Discipline is an agent skill from gtmagents/gtm-agents. Use to drive consistent forecast methodology, grading, and inspection cadences.

When should I use Forecast Discipline?

Forecast Discipline fits situations like: drive consistent forecast methodology; inspection cadences.

How do I install Forecast Discipline in Claude Code?

Run `npx skills add gtmagents/gtm-agents --skill forecast-discipline -a claude-code`. Or copy the skill folder (plugins/sales-pipeline/skills/forecast-discipline in gtmagents/gtm-agents) into .claude/skills/forecast-discipline in your project. Claude Code loads it when a task matches its description.

How do I install Forecast Discipline in Codex?

Run `npx skills add gtmagents/gtm-agents --skill forecast-discipline -a codex`. Or copy the skill folder (plugins/sales-pipeline/skills/forecast-discipline in gtmagents/gtm-agents) into .agents/skills/forecast-discipline in your project. Codex loads it when a task matches its description.

Can I use Forecast Discipline 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 gtmagents/gtm-agents --skill forecast-discipline -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/forecast-discipline, .gemini/skills/forecast-discipline, .github/skills/forecast-discipline and .opencode/skills/forecast-discipline in your project.

What does Forecast Discipline need to run?

SKILL.md names no scripts, command-line tools or credentials: Forecast Discipline is instructions for the agent only.

Does Forecast Discipline access the network?

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.

Is Forecast Discipline 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 Forecast Discipline use?

Forecast Discipline is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Forecast Discipline use?

About 779 tokens (SKILL.md is roughly 3.1k 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 Forecast Discipline?

Skills that share tags, products or a category with Forecast Discipline: Ecommerce Growth Strategy (LeoYeAI/openclaw-master-skills, 2.2k stars), Sales Playbook (espennilsen/pi, 122 stars), Chief Revenue Officer (cbrock84/headcount, 2k stars) and Gtm Competitive Battlecard Writer (criptogus/agent-evolve-network, 288 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Forecast Discipline?

gtmagents (a GitHub user) maintains it in gtmagents/gtm-agents, which has 414 GitHub stars. The repository holds 121 skills in this directory. The repository was last updated on April 3, 2026.

Source: gtmagents/gtm-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.