Agent skill

Mindtickle Core Workflow B

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Design and govern a Mindtickle readiness and coaching measurement cycle tied to business outcomes.

MITAuto-check passed

Install Mindtickle Core Workflow B

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill mindtickle-core-workflow-b -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace mindtickle-core-workflow-b --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/mindtickle-core-workflow-b .claude/skills/mindtickle-core-workflow-b && 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
mindtickle-core-workflow-b
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
385 words
Files
1
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Design and govern a Mindtickle readiness and coaching measurement cycle tied to business outcomes.

  • Works in 8 steps: Define the decision the measurement may… → Version the role profile, competencies,… → Establish baselines and minimum sample… → …
  • Defining competencies
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Mindtickle Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace. Design and govern a Mindtickle readiness and coaching measurement cycle tied to business outcomes. Use when defining competencies, assessments, coaching, or Readiness Index reviews. Trigger with "measure Mindtickle readiness".

Its SKILL.md is about 1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Designed for Claude Code; competency models, employee assessments, coaching actions, and CRM correlation require HR, legal, and business-owner approval

The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Defining competencies
  • Readiness Index reviews
  • With measure Mindtickle readiness

Example prompts

  • “measure Mindtickle readiness”
  • “/mindtickle-core-workflow-b”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; competency models, employee assessments, coaching actions, and CRM correlation require HR, legal, and business-owner approval
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

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

  1. Define the decision the measurement may inform and decisions it must never make automatically.
  2. Version the role profile, competencies, weights, evidence sources, exclusions, and review cadence.
  3. Establish baselines and minimum sample sizes before setting targets or claiming correlation.
  4. Validate assessment accessibility, scoring reproducibility, manager calibration, and missing-data treatment.
  5. Map learning and coaching interventions to named gaps; retain a human review and appeal route.
  6. Present any tenant configuration change with population impact, effective date, and rollback.
  7. After approval, run the cycle and reconcile source evidence, computed views, and authorized exports.
  8. Report trends with uncertainty and confounders; do not infer causation from a dashboard correlation.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    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

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

    • mindtickle.com

    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.

  • Compatibility

    Designed for Claude Code; competency models, employee assessments, coaching actions, and CRM correlation require HR, legal, and business-owner approval

    From compatibility in the SKILL.md frontmatter.

Context cost

Mindtickle Core Workflow B loads about 1k tokens when it runs. Until then it costs about 63 tokens; SKILL.md has 385 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 385 words, ~1,021 tokens.

Download SKILL.mdSave it as .claude/skills/mindtickle-core-workflow-b/SKILL.md (or your agent's skills folder).
name
mindtickle-core-workflow-b
description
Design and govern a Mindtickle readiness and coaching measurement cycle tied to business outcomes. Use when defining competencies, assessments, coaching, or Readiness Index reviews. Trigger with "measure Mindtickle readiness".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; competency models, employee assessments, coaching actions, and CRM correlation require HR, legal, and business-owner approval
argument-hint
[role-profile] [review-period]
version
1.8.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, mindtickle, readiness, coaching, measurement
model
inherit
effort
medium

Mindtickle Readiness and Coaching Measurement Cycle

Overview

Create an explainable measurement plan that connects competencies, learning, coaching, and field outcomes without turning a readiness score into an unsupported employment decision.

Prerequisites

  • A role owner, approved competency model, review population, and business outcome
  • Defined lawful uses, access controls, retention, and employee communication
  • Confirmed entitlements for Readiness Index, assessments, coaching, analytics, and any CRM integration

Tool Discipline

Use Read, Glob, and Grep for profiles and metric definitions, WebFetch for current official contracts, and Write or Edit for a governed measurement specification and redacted review receipt.

Current Contract

Mindtickle describes Ideal Rep Profiles, competency benchmarks, assessments, coaching, module-level insights, team and regional views, and correlation with CRM outcomes. The customer owns the validity, fairness, interpretation, and permitted decisions built on those measurements.

Authentication

Restrict learner-level data to approved roles. Use aggregate or de-identified data where possible, and keep CRM, HR, assessment, and coaching access independently authorized.

Instructions

  1. Define the decision the measurement may inform and decisions it must never make automatically.
  2. Version the role profile, competencies, weights, evidence sources, exclusions, and review cadence.
  3. Establish baselines and minimum sample sizes before setting targets or claiming correlation.
  4. Validate assessment accessibility, scoring reproducibility, manager calibration, and missing-data treatment.
  5. Map learning and coaching interventions to named gaps; retain a human review and appeal route.
  6. Present any tenant configuration change with population impact, effective date, and rollback.
  7. After approval, run the cycle and reconcile source evidence, computed views, and authorized exports.
  8. Report trends with uncertainty and confounders; do not infer causation from a dashboard correlation.
Show full SKILL.md (120 more words)Show less

Approval Boundaries

Do not change competency weights, assign remediation, export learner-level results, or feed scores into compensation or employment actions without explicit policy and owner approval.

Output

Return the versioned model, purpose and prohibited uses, access matrix, validation evidence, approved interventions, aggregate results, limitations, and next review date.

Error Handling

ConditionResponse
A metric cannot be reproducedQuarantine it from decisions and reconcile its source and transformation.
Group size risks re-identificationSuppress or aggregate the result according to policy.
Outcome correlation is unstableReport uncertainty and collect more evidence; do not tune weights to force a result.

Example

text
profile=enterprise-ae-v3; population=approved; calibration=pass; learner-export=none; outcome-link=correlation-only; review=quarterly

Resources

Next Steps

Review the model with affected stakeholders and compare interventions against the frozen baseline.

© jeremylongshore, MIT. 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 skills/.curated/mindtickle-core-workflow-b of jeremylongshore/tons-of-skills-marketplace.

Open the folder on GitHubat commit cfae287

Compare with similar skills

Mindtickle Core Workflow B 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.

Mindtickle Core Workflow B compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Mindtickle Core Workflow B this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT
Docs Governanceaffaan-m/ECC277k—~1.1kAutomated safety check: PassMIT
Homelab Network Readinessaffaan-m/ECC277k1 repos~1.9kAutomated safety check: PassMIT
AI Act Readinessalirezarezvani/claude-skills28k—~1.8kAutomated safety check: PassMIT
PR Readyremotion-dev/remotion63k—~344Automated safety check: PassCustom licence
Interview Coachsickn33/agentic-awesome-skills47k2 repos~751Automated safety check: PassMIT

Similar skills

  • Docs Governance

    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.

    277k GitHub stars~1.1k tokensUpdated today
    DevelopmentAuto-check passed
  • Readiness checklist for homelab VLAN segmentation, local DNS filtering (Pi-hole, AdGuard Home), and WireGuard-style remote access.

    277k GitHub starsUsed in 1 repo~1.9k tokens
    Backend & APIsAuto-check passed
  • AI Act Readiness

    alirezarezvani/claude-skills

    /cs:ai-act-readiness <system — EU AI Act 6-question forcing interrogation.

    28k GitHub stars~1.8k tokensUpdated 1 mo ago
    Legal & ComplianceAuto-check passed
  • PR Ready

    remotion-dev/remotion

    Official

    Resolve CI failures, merge conflicts, or local branch changes to get a PR ready

    63k GitHub stars~344 tokensUpdated 2 days ago
    DevelopmentAuto-check passed
  • Interview Coach

    sickn33/agentic-awesome-skills

    Full job search coaching system — JD decoding, resume, storybank, mock interviews, transcript analysis, comp negotiation.

    47k GitHub starsUsed in 2 repos~751 tokens
    Business, Finance & HRAuto-check passed
  • Board Governance

    sickn33/agentic-awesome-skills

    Board and governance register: meeting date, agenda, decision, resolution number, vote result, action owner and due date.

    47k GitHub starsUsed in 1 repo~4.1k tokens
    Auto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo
  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes
  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed
  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed
  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed
  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Questions about Mindtickle Core Workflow B

What does Mindtickle Core Workflow B do?

Design and govern a Mindtickle readiness and coaching measurement cycle tied to business outcomes. Mindtickle Core Workflow B is an agent skill from jeremylongshore/tons-of-skills-marketplace. Design and govern a Mindtickle readiness and coaching measurement cycle tied to business outcomes.

When should I use Mindtickle Core Workflow B?

Mindtickle Core Workflow B fits situations like: defining competencies; readiness Index reviews; with measure Mindtickle readiness.

How do I install Mindtickle Core Workflow B in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill mindtickle-core-workflow-b -a claude-code`. Or copy the skill folder (skills/.curated/mindtickle-core-workflow-b in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/mindtickle-core-workflow-b in your project. Claude Code loads it when a task matches its description.

How do I install Mindtickle Core Workflow B in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill mindtickle-core-workflow-b -a codex`. Or copy the skill folder (skills/.curated/mindtickle-core-workflow-b in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/mindtickle-core-workflow-b in your project. Codex loads it when a task matches its description.

Can I use Mindtickle Core Workflow B 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 jeremylongshore/tons-of-skills-marketplace --skill mindtickle-core-workflow-b -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mindtickle-core-workflow-b, .gemini/skills/mindtickle-core-workflow-b, .github/skills/mindtickle-core-workflow-b and .opencode/skills/mindtickle-core-workflow-b in your project.

What does Mindtickle Core Workflow B need to run?

SKILL.md names no scripts, command-line tools or credentials: Mindtickle Core Workflow B is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; competency models, employee assessments, coaching actions, and CRM correlation require HR, legal, and business-owner approval.

Does Mindtickle Core Workflow B access the network?

SKILL.md names 1 domain. As links in the text: mindtickle.com. This is read from the text; nothing was executed.

Is Mindtickle Core Workflow B 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 Mindtickle Core Workflow B use?

Mindtickle Core Workflow B is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mindtickle Core Workflow B use?

About 1k tokens (SKILL.md is roughly 4.1k 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 Mindtickle Core Workflow B?

Skills that share tags, products or a category with Mindtickle Core Workflow B: Docs Governance (affaan-m/ECC, 277k stars), Homelab Network Readiness (affaan-m/ECC, 277k stars), AI Act Readiness (alirezarezvani/claude-skills, 28k stars) and PR Ready (remotion-dev/remotion, 63k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mindtickle Core Workflow B?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.