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affaan-m/ECC

messages-ops

Evidence-first live messaging workflow for ECC. Use when the user wants to read texts or DMs, recover a recent one-time code, inspect a thread before replying, or prove which message source was actually checked.

81Collecting
See how to use itView GitHub source
npx skills add https://github.com/affaan-m/ECC --skill "skills/messages-ops"
Automated source guide

Source checked Jul 28, 2026·Refresh due Oct 26, 2026

Reorganized from the pinned upstream SKILL.md

Turn messages-ops's source instructions into a guide you can follow

According to the pinned SKILL.md from affaan-m/ECC: Use this when the task is live-message retrieval: iMessage, DMs, recent one-time codes, or thread inspection before a follow-up.

npx skills add https://github.com/affaan-m/ECC --skill "skills/messages-ops"
Check the pinned source

Best fit

  • user says "read my messages", "check texts", "look in DMs", or "find the code"
  • the task depends on a live thread or a recent code delivered to a local messaging surface
  • the user wants proof of which source or thread was inspected

Bring this context

  • A concrete task that matches the documented purpose of messages-ops.
  • The files, examples, or context the task depends on.
  • Your constraints, target environment, and definition of done.

Expected outputs

  • source used
  • thread or sender when possible
  • time window

Key source sections

Read messages-ops through these 5 source sections

Sections are extracted automatically from the pinned SKILL.md and link back to the source.

01

Workflow

Before doing anything else, settle:

SKILL.md · Workflow
message surfacesender / recipient / servicetime window
02

Verification

the response names the message source

SKILL.md · Verification
the response names the message sourcethe response includes a sender, service, thread, or clear blockerthe final state is explicit and bounded
03

Skill Stack

Pull these ECC-native skills into the workflow when relevant:

SKILL.md · Skill Stack
email-ops when the message task is really mailbox workconnections-optimizer when the DM thread belongs to outbound network worklead-intelligence when the live thread should inform targeting or warm-path outreach
04

When to Use

user says "read my messages", "check texts", "look in DMs", or "find the code"

SKILL.md · When to Use
user says "read my messages", "check texts", "look in DMs", or "find the code"the task depends on a live thread or a recent code delivered to a local messaging surfacethe user wants proof of which source or thread was inspected
05

Guardrails

resolve the source first:

SKILL.md · Guardrails
resolve the source first:local messagesX / social DM

SkillSignal prompt templates

Provide the task, context, and acceptance criteria

These prompts were written by SkillSignal from the source structure; they are not upstream text.

Task-start prompt

Confirm source fit, inputs, and outputs before acting.

Use messages-ops to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.

Source-guided execution

Make the Agent explicitly follow the key extracted sections.

Apply the pinned messages-ops source to [task]. Pay particular attention to these source sections: “Workflow”, “Verification”, “Skill Stack”, “When to Use”, “Guardrails”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].

Result-review prompt

Check omissions, permissions, and source drift before delivery.

Review the current messages-ops result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.

Output checklist

Verify each item before delivery

The task matches the purpose documented in the SKILL.md.

The source section “Workflow” has been checked.

The source section “Verification” has been checked.

The source section “Skill Stack” has been checked.

The source section “When to Use” has been checked.

Inputs, constraints, and acceptance criteria are explicit.

Unverified facts, compatibility, and outcome claims are clearly marked.

Any file, command, network, or data action has been reviewed.

Choose a different workflow

When another Skill is the better fit

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.

A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.

Open source detail

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.

A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.

Open source detail

neurokit2

Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.

A separate implementation from K-Dense-AI/scientific-agent-skills; compare its source, maintenance signals, and permission requirements.

Open source detail

FAQ

What does messages-ops do?

Use this when the task is live-message retrieval: iMessage, DMs, recent one-time codes, or thread inspection before a follow-up.

How do I start using messages-ops?

The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "skills/messages-ops". Inspect the command and pinned source before running it.

Which Agent platforms does it declare?

No dedicated Agent platform is declared in the pinned source record.

Repository stars
234,327
Repository forks
35,711
Quality
81/100
Source repository last pushed

Quality breakdown

Based on traceable docs and repository signals; stars are not treated as quality.

81/100
Documentation24/30
Specificity20/25
Maintenance20/20
Trust signals17/25

Compare before choosing

Related Agent Skills and source variants

These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.

design-review by event4u-app

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.

dask by k-dense-ai

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.

neurokit2 by k-dense-ai

Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas, and method-aware validation—not for diagnosis or device validation.

prompt-optimizer by affaan-m

Analyze raw prompts, identify intent and gaps, match ECC components (skills/commands/agents/hooks), and output a ready-to-paste optimized prompt. Advisory role only — never executes the task itself. TRIGGER when: user says "optimize prompt", "improve my prompt", "how to write a prompt for", "help me prompt", "rewrite this prompt", or explicitly asks to enhance prompt quality. Also triggers on Chinese equivalents: "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令". DO NOT TRIGGER when: user wants th

scanpy by k-dense-ai

Standard single-cell RNA-seq analysis pipeline. Use for QC, normalization, dimensionality reduction (PCA/UMAP/t-SNE), clustering, differential expression, visualization, and converting R-friendly single-cell formats such as Seurat or SingleCellExperiment RDS files into h5ad for Scanpy. Best for exploratory scRNA-seq analysis with established workflows. For deep learning models use scvi-tools; for data format questions use anndata.

View original Skill.mdThis page is parsed directly from the repository SKILL.md without editorial rewriting. Collected: Jul 28, 2026 · about 2 min

Messages Ops

Use this when the task is live-message retrieval: iMessage, DMs, recent one-time codes, or thread inspection before a follow-up.

This is not email work. If the dominant surface is a mailbox, use email-ops.

Skill Stack

Pull these ECC-native skills into the workflow when relevant:

  • email-ops when the message task is really mailbox work
  • connections-optimizer when the DM thread belongs to outbound network work
  • lead-intelligence when the live thread should inform targeting or warm-path outreach
  • knowledge-ops when the thread contents need to be captured into durable context

When to Use

  • user says "read my messages", "check texts", "look in DMs", or "find the code"
  • the task depends on a live thread or a recent code delivered to a local messaging surface
  • the user wants proof of which source or thread was inspected

Guardrails

  • resolve the source first:
    • local messages
    • X / social DM
    • another browser-gated message surface
  • do not claim a thread was checked without naming the source
  • do not improvise raw database access if a checked helper or standard path exists
  • if auth or MFA blocks the surface, report the exact blocker

Workflow

1. Resolve the exact thread

Before doing anything else, settle:

  • message surface
  • sender / recipient / service
  • time window
  • whether the task is retrieval, inspection, or prep for a reply

2. Read before drafting

If the task may turn into an outbound follow-up:

  • read the latest inbound
  • identify the open loop
  • then hand off to the correct outbound skill if needed

3. Handle codes as a focused retrieval task

For one-time codes:

  • search the recent local message window first
  • narrow by service or sender when possible
  • stop once the code is found or the focused search is exhausted

4. Report exact evidence

Return:

  • source used
  • thread or sender when possible
  • time window
  • exact status:
    • read
    • code-found
    • blocked
    • awaiting reply draft

Output Format

SOURCE
- message surface
- sender / thread / service

RESULT
- message summary or code
- time window

STATUS
- read / code-found / blocked / awaiting reply draft

Pitfalls

  • do not blur mailbox work and DM/text work
  • do not claim retrieval without naming the source
  • do not burn time on broad searches when the ask is a recent-code lookup
  • do not keep retrying a blocked auth path without surfacing the blocker

Verification

  • the response names the message source
  • the response includes a sender, service, thread, or clear blocker
  • the final state is explicit and bounded
Source repo
affaan-m/ECC
Skill path
skills/messages-ops/SKILL.md
Commit SHA
4e973d3eaf92
Repository license
MIT
Data collected