Afa Cx
afadtc/afa-dtc-skills
DTC 客户体验与服务智能引擎——客服优化、售后流程、退货策略、客户旅程设计、NPS/CSAT 管理。Use when user mentions: 客户体验, customer experience, CX, 客服, customer service, 退货, returns, 售后, after-sales, NPS, CSAT, 客户满意度, 投诉, complaints, 客户旅程…
Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets.
Install Cs Analytics
$ npx skills add asgard-ai-platform/skills --skill cs-analytics -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install asgard-ai-platform/skills cs-analytics --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/asgard-ai-platform/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cs-analytics .claude/skills/cs-analytics && 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 "cs-analytics" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/cs-analytics into .claude/skills/cs-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-analytics", 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/asgard-ai-platform/skills/tree/main/cs-analyticsType 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 asgard-ai-platform/skills --skill cs-analytics -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install asgard-ai-platform/skills cs-analytics --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cs-analytics .agents/skills/cs-analytics && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cs-analytics" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/cs-analytics into .agents/skills/cs-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-analytics", 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 asgard-ai-platform/skills --skill cs-analytics -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install asgard-ai-platform/skills cs-analytics --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cs-analytics .cursor/skills/cs-analytics && 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 "cs-analytics" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/cs-analytics into .cursor/skills/cs-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-analytics", 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/asgard-ai-platform/skills.git --path cs-analytics--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 asgard-ai-platform/skills --skill cs-analytics -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install asgard-ai-platform/skills cs-analytics --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cs-analytics .gemini/skills/cs-analytics && 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 "cs-analytics" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/cs-analytics into .gemini/skills/cs-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-analytics", 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 asgard-ai-platform/skills cs-analyticsInstalls 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 asgard-ai-platform/skills --skill cs-analytics -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/cs-analytics .github/skills/cs-analytics && 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 "cs-analytics" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/cs-analytics into .github/skills/cs-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-analytics", 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 asgard-ai-platform/skills --skill cs-analytics -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install asgard-ai-platform/skills cs-analytics --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/asgard-ai-platform/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cs-analytics .opencode/skills/cs-analytics && 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 "cs-analytics" agent skill from https://github.com/asgard-ai-platform/skills/tree/main/cs-analytics into .opencode/skills/cs-analytics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cs-analytics", 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.
Facts
- Skill name
cs-analytics- GitHub stars
- 241
- Token cost
- ~1.4k tokens
- SKILL.md length
- 449 words
- Files
- 4 (incl. references)
- Skills in repo
- 209
- Repo updated
- First seen
- Licence
- MIT
At a glance
Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets.
- The user needs to evaluate CS team performance
- SKILL.md covers Framework, Output Format, Gotchas and References
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Identify top complaint drivers
What it does
Cs Analytics is an agent skill from asgard-ai-platform/skills. Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets. Use this skill when the user needs to evaluate CS team performance, identify top complaint drivers, optimize staffing, or build CS dashboards — even if they say 'is our CS team doing well', 'what are customers complaining about', 'how many agents do we need', or 'build a CS dashboard'.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `examples/sample_scenario.md`, `references/nps-methodology.md` and `references/ticket-text-mining.md`).
It sits in Sales & Support, covering Customer feedback analysis, Customer support and Natural language processing. The repository describes itself as: 301 open-source coding agent skills across 22 domains — methodology, judgment & gotchas packaged as Claude Agent Skills for the Asgard AI Platform. The licence is MIT.
When your agent uses it
- The user needs to evaluate CS team performance
- Identify top complaint drivers
- Optimize staffing
- Build CS dashboards — even if they say is our CS team doing well
Example prompts
- “is our CS team doing well”
- “what are customers complaining about”
- “how many agents do we need”
- “/cs-analytics”
What it can do on your machine
Read from SKILL.md and the folder at commit 4e7f4f8. 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 (its code samples are markdown).
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
Cs Analytics loads about 1.4k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 449 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.
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 asgard-ai-platform/skills at commit 4e7f4f8, republished under its MIT licence (© asgard-ai-platform). 449 words, ~1,374 tokens.
Download SKILL.mdSave it as
.claude/skills/cs-analytics/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- cs-analytics
- description
- Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets. Use this skill when the user needs to evaluate CS team performance, identify top complaint drivers, optimize staffing, or build CS dashboards — even if they say 'is our CS team doing well', 'what are customers complaining about', 'how many agents do we need', or 'build a CS dashboard'.
- metadata.category
- WP-06 Agent通訊+客服
- metadata.tags
- customer-service, analytics, nps, csat
Customer Service Analytics
Framework
IRON LAW: Measure Satisfaction AND Efficiency — Never Just One
High CSAT with terrible resolution time = unsustainable (agents spend
too long per ticket). Fast resolution with low CSAT = cutting corners.
Both dimensions must be tracked and balanced.Key Metrics
Satisfaction Metrics
| Metric | What It Measures | How to Collect | Benchmark |
|---|---|---|---|
| CSAT | Satisfaction with specific interaction | Post-interaction survey (1-5 scale) | > 4.0/5 |
| NPS | Likelihood to recommend | "How likely to recommend?" (0-10) | > 30 |
| CES | Effort required to resolve | "How easy was it to resolve?" (1-7) | > 5.0/7 |
Efficiency Metrics
| Metric | Formula | Benchmark |
|---|---|---|
| First Contact Resolution (FCR) | Resolved on first contact / Total contacts | > 70% |
| Average Handle Time (AHT) | Total handle time / Total contacts | 5-8 min (varies by industry) |
| Average Response Time | Time from ticket creation to first response | < SLA target |
| Backlog | Open tickets / Daily throughput | < 1 day |
| Escalation Rate | Escalated tickets / Total tickets | < 20% |
| Reopen Rate | Reopened tickets / Resolved tickets | < 5% |
Operational Metrics
| Metric | Formula | Use |
|---|---|---|
| Ticket Volume | Tickets per day/week/month | Staffing planning |
| Channel Mix | % by channel (email, chat, phone, LINE) | Resource allocation |
| Peak Hours | Volume by hour-of-day | Shift scheduling |
| Category Distribution | % by issue type | Process improvement priority |
Analysis Workflows
1. Top Contact Reason Analysis
- Categorize all tickets by reason (auto-tag or manual)
- Pareto chart: top 5 reasons usually account for 60-80% of volume
- For each top reason: can it be self-served? Automated? Eliminated at source?
2. Text Mining on Tickets
- Extract frequent keywords/phrases from ticket descriptions
- Cluster into topics (LDA, BERTopic, or simple TF-IDF)
- Identify emerging issues (new topics appearing in recent weeks)
- Sentiment analysis on customer messages
3. Staffing Optimization
Required Agents = Peak Hour Volume × AHT / (60 × Utilization Target)
Example: 50 tickets/hour × 8 min AHT / (60 × 0.75 utilization) = 8.9 → 9 agentsAdd buffer for breaks, meetings, and training (~15-20%).
4. Agent Performance
| Metric | Compare | Action |
|---|---|---|
| Individual CSAT vs team avg | Identify coaching needs | Training for below-average |
| Individual AHT vs team avg | Identify efficiency gaps | Shadow high-performers |
| FCR by agent | Identify knowledge gaps | Knowledge base improvements |
Show full SKILL.md (182 more words)Show less
VOC (Voice of Customer) Tracking
| Signal | Source | Frequency |
|---|---|---|
| Emerging complaints | Ticket text mining | Weekly |
| Feature requests | Tagged tickets + surveys | Monthly |
| Churn signals | "Cancel" intent tickets, low CSAT patterns | Weekly |
| Praise patterns | High CSAT + positive comments | Monthly (share with team) |
Output Format
# CS Analytics Report: {Period}
## Summary Dashboard
| Metric | Current | Prior | Target | Status |
|--------|---------|-------|--------|--------|
| CSAT | {X}/5 | {X}/5 | >4.0 | 🟢/🟡/🔴 |
| FCR | {%} | {%} | >70% | 🟢/🟡/🔴 |
| Avg Response Time | {hrs} | {hrs} | <{X}hrs | 🟢/🟡/🔴 |
| Ticket Volume | {N} | {N} | — | ↑/↓ |
## Top Contact Reasons (Pareto)
| # | Reason | Volume | % | Self-Servable? |
|---|--------|--------|---|---------------|
| 1 | {reason} | {N} | {%} | Y/N |
## Emerging Issues
{New topics detected in text mining this period}
## Staffing
- Current agents: {N}
- Required (based on volume): {N}
- Gap: {over/under-staffed by N}
## Recommendations
1. {highest-impact improvement}Gotchas
- CSAT response bias: Only 10-20% of customers respond to surveys, usually the very happy and very unhappy. The silent majority's experience is unknown. Supplement with behavioral data (repeat contact, churn).
- NPS is strategic, CSAT is tactical: NPS measures overall brand loyalty (long-term). CSAT measures specific interaction quality (short-term). Don't use NPS to evaluate individual agents.
- AHT optimization can hurt quality: Pressure to reduce AHT may cause agents to rush, reducing FCR and CSAT. Optimize FCR first, then look at AHT.
- Ticket categorization drift: Categories become outdated as products evolve. Review and update the category taxonomy quarterly.
- Correlation ≠ causation in CS data: "Agents who use more templates have higher CSAT" might mean templates help, OR that experienced agents (who happen to use templates) are just better.
References
- For NPS survey design, see
references/nps-methodology.md - For text mining on support tickets, see
references/ticket-text-mining.md
© asgard-ai-platform, 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 3 other files (references) in cs-analytics of asgard-ai-platform/skills.
- SKILL.md
- examples/sample_scenario.md
- references/nps-methodology.md
- references/ticket-text-mining.md
Open the folder on GitHubat commit 4e7f4f8
Compare with similar skills
Cs Analytics 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 |
|---|---|---|---|---|---|---|
| Cs Analytics this skillasgard-ai-platform/skills | 241 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Afa Cxafadtc/afa-dtc-skills | 168 | — | ~2k | Automated safety check: Pass | Custom licence | |
| Customer Supportaiskillstore/marketplace | 430 | 7 repos | ~2.2k | Automated safety check: Pass | None | |
| Sentiment Analyzerguia-matthieu/clawfu-skills | 150 | — | ~923 | Automated safety check: Pass | MIT | |
| User Feedback Aggregationrampstackco/claude-skills | 940 | — | ~5.2k | Automated safety check: Pass | MIT | |
| Voice Of Customer Synthesizermajiayu000/claude-skill-registry | 666 | 2 repos | ~2.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Cs Analytics
What does Cs Analytics do?
Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets. Cs Analytics is an agent skill from asgard-ai-platform/skills. Measure and optimize customer service performance using CSAT, NPS, CES, First Contact Resolution, and text mining on support tickets.
When should I use Cs Analytics?
Cs Analytics fits situations like: the user needs to evaluate CS team performance; identify top complaint drivers; optimize staffing; build CS dashboards — even if they say is our CS team doing well.
How do I install Cs Analytics in Claude Code?
Run `npx skills add asgard-ai-platform/skills --skill cs-analytics -a claude-code`. Or copy the skill folder (cs-analytics in asgard-ai-platform/skills) into .claude/skills/cs-analytics in your project. Claude Code loads it when a task matches its description.
How do I install Cs Analytics in Codex?
Run `npx skills add asgard-ai-platform/skills --skill cs-analytics -a codex`. Or copy the skill folder (cs-analytics in asgard-ai-platform/skills) into .agents/skills/cs-analytics in your project. Codex loads it when a task matches its description.
Can I use Cs Analytics 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 asgard-ai-platform/skills --skill cs-analytics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cs-analytics, .gemini/skills/cs-analytics, .github/skills/cs-analytics and .opencode/skills/cs-analytics in your project.
What does Cs Analytics need to run?
SKILL.md names no scripts, command-line tools or credentials: Cs Analytics is instructions for the agent only.
Does Cs Analytics 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 Cs Analytics 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 Cs Analytics use?
Cs Analytics 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 Cs Analytics use?
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.
What are the alternatives to Cs Analytics?
Skills that share tags, products or a category with Cs Analytics: Afa Cx (afadtc/afa-dtc-skills, 168 stars), Customer Support (aiskillstore/marketplace, 430 stars), Sentiment Analyzer (guia-matthieu/clawfu-skills, 150 stars) and User Feedback Aggregation (rampstackco/claude-skills, 940 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cs Analytics?
asgard-ai-platform (a GitHub organization) maintains it in asgard-ai-platform/skills, which has 241 GitHub stars. The repository holds 209 skills in this directory. The repository was last updated on June 6, 2026.
Source: asgard-ai-platform/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.