Customer Support
aiskillstore/marketplace
Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences.
Synthesises user signals from multiple research sources into a unified, weighted insight brief.
Install Multi Source Signal Synthesiser
$ npx skills add mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mohitagw15856/pm-claude-skills multi-source-signal-synthesiser --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/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/multi-source-signal-synthesiser .claude/skills/multi-source-signal-synthesiser && 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 "multi-source-signal-synthesiser" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/multi-source-signal-synthesiser into .claude/skills/multi-source-signal-synthesiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-source-signal-synthesiser", 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/mohitagw15856/pm-claude-skills/tree/main/skills/multi-source-signal-synthesiserType 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 mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mohitagw15856/pm-claude-skills multi-source-signal-synthesiser --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/multi-source-signal-synthesiser .agents/skills/multi-source-signal-synthesiser && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "multi-source-signal-synthesiser" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/multi-source-signal-synthesiser into .agents/skills/multi-source-signal-synthesiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-source-signal-synthesiser", 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 mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mohitagw15856/pm-claude-skills multi-source-signal-synthesiser --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/multi-source-signal-synthesiser .cursor/skills/multi-source-signal-synthesiser && 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 "multi-source-signal-synthesiser" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/multi-source-signal-synthesiser into .cursor/skills/multi-source-signal-synthesiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-source-signal-synthesiser", 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/mohitagw15856/pm-claude-skills.git --path skills/multi-source-signal-synthesiser--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 mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mohitagw15856/pm-claude-skills multi-source-signal-synthesiser --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/multi-source-signal-synthesiser .gemini/skills/multi-source-signal-synthesiser && 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 "multi-source-signal-synthesiser" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/multi-source-signal-synthesiser into .gemini/skills/multi-source-signal-synthesiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-source-signal-synthesiser", 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 mohitagw15856/pm-claude-skills multi-source-signal-synthesiserInstalls 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 mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/multi-source-signal-synthesiser .github/skills/multi-source-signal-synthesiser && 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 "multi-source-signal-synthesiser" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/multi-source-signal-synthesiser into .github/skills/multi-source-signal-synthesiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-source-signal-synthesiser", 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 mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mohitagw15856/pm-claude-skills multi-source-signal-synthesiser --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/multi-source-signal-synthesiser .opencode/skills/multi-source-signal-synthesiser && 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 "multi-source-signal-synthesiser" agent skill from https://github.com/mohitagw15856/pm-claude-skills/tree/main/skills/multi-source-signal-synthesiser into .opencode/skills/multi-source-signal-synthesiser/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "multi-source-signal-synthesiser", 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
multi-source-signal-synthesiser- GitHub stars
- 1.4k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 511 words
- Files
- 1
- Skills in repo
- 1,348
- Repo updated
- First seen
- Licence
- MIT
At a glance
Synthesises user signals from multiple research sources into a unified, weighted insight brief.
- Works in 6 steps: Tag each signal by source and apply weight → Look for convergence: same underlying… → Look for divergence: contradictory… → …
- You have data from interviews
- SKILL.md covers Required Inputs, Source Weighting (default —…, Process and Output Structure, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Multi Source Signal Synthesiser is an agent skill from mohitagw15856/pm-claude-skills. Synthesises user signals from multiple research sources into a unified, weighted insight brief. Use when you have data from interviews, support tickets, NPS verbatims, app reviews, or sales calls and need to reconcile contradictions, surface the underlying need behind requests, or answer 'what are users really telling us'. Produces ranked insights with confidence ratings, source weighting rationale, divergent signal analysis by user segment, and a research gap identification section.
Its SKILL.md is about 1.1k 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 Customer feedback analysis and Customer support. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.
When your agent uses it
- You have data from interviews
- Support tickets
- Sales calls and need to reconcile contradictions
- Surface the underlying need behind requests
Example prompts
- “what are users really telling us”
- “Use the multi-source-signal-synthesiser skill to synthesise user signals from multiple research sources into a unified, weighted insight brief”
- “/multi-source-signal-synthesiser”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- Tag each signal by source and apply weight
- Look for convergence: same underlying need appearing across 3+ sources
- Look for divergence: contradictory signals suggesting user segmentation
- Distinguish surface request from underlying need (e.g. "faster export" may mean "I don't trust the data will be there when I need it")
- Produce ranked insights by weighted frequency
- Validate — Confirm each insight has evidence from at least 2 source types. Flag any insight resting on a single source as low-confidence.
What it can do on your machine
Read from SKILL.md and the folder at commit 1cbf1f0. 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
Multi Source Signal Synthesiser loads about 1.1k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 511 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 mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 511 words, ~1,078 tokens.
Download SKILL.mdSave it as
.claude/skills/multi-source-signal-synthesiser/SKILL.md (or your agent's skills folder).- name
- multi-source-signal-synthesiser
- description
- Synthesises user signals from multiple research sources into a unified, weighted insight brief. Use when you have data from interviews, support tickets, NPS verbatims, app reviews, or sales calls and need to reconcile contradictions, surface the underlying need behind requests, or answer 'what are users really telling us'. Produces ranked insights with confidence ratings, source weighting rationale, divergent signal analysis by user segment, and a research gap identification section.
Multi-Source Signal Synthesiser Skill
Reconcile user signals from multiple sources — interviews, support tickets, NPS, app reviews, sales calls — into a unified, weighted insight brief that surfaces the underlying need rather than the surface-level request.
Required Inputs
Ask the user for these if not provided:
- Signal sources (interviews, support tickets, NPS verbatims, app reviews, sales calls, analytics — any combination)
- Time period covered by the data
- Product area or feature the signals relate to (if scoped)
Source Weighting (default — adapt to context)
| Source | Weight | Rationale |
|---|---|---|
| Direct research (interviews, usability tests) | 5 | Highest-fidelity, structured |
| Support tickets (unprompted pain signals) | 4 | Real pain, unfiltered |
| NPS verbatims | 3 | Broad but shallow |
| App store reviews | 2 | Public, self-selected |
| Sales call summaries | 2 | Filtered through sales lens |
| Anecdote or single report | 1 | Low confidence alone |
Process
- Tag each signal by source and apply weight
- Look for convergence: same underlying need appearing across 3+ sources
- Look for divergence: contradictory signals suggesting user segmentation
- Distinguish surface request from underlying need (e.g. "faster export" may mean "I don't trust the data will be there when I need it")
- Produce ranked insights by weighted frequency
- Validate — Confirm each insight has evidence from at least 2 source types. Flag any insight resting on a single source as low-confidence.
Output Structure
User Signal Synthesis — [Date / Period]
Sources included: [list with count per source] Total signals processed: [n]
Insight 1: [Underlying need, not feature request]
- Confidence: High / Medium / Low (based on source diversity and weight)
- Evidence: [Signals from each source supporting this]
- Conflicting signals: [Any contradicting evidence and how to interpret it]
- Product implication: [Specific next step, not generic]
[Repeat for top 3-5 insights]
Divergent Signals (Possible Segmentation)
[Where user groups appear to have genuinely different needs — specify which segments]
What the Data Does NOT Tell Us
[Gaps that require further research before acting]
Show full SKILL.md (205 more words)Show less
Quality Checks
- Every insight references at least 2 distinct source types
- Surface requests are translated to underlying needs (not just echoed)
- Divergent signals identify the specific user segments, not just "some users disagree"
- Confidence ratings are consistent with source diversity and weighting
- "What the data does NOT tell us" section is honest about gaps
Anti-Patterns
- Do not echo surface-level feature requests as insights — translate every request to the underlying need before including it as a finding
- Do not assign High confidence to insights supported by only one source type — confidence requires corroboration across at least two distinct source types
- Do not treat all sources as equally weighted — a single interview quote and a pattern across 200 support tickets are not comparable signals
- Do not collapse divergent signals into a single finding — where user segments have genuinely different needs, name the segments explicitly rather than averaging them away
- Do not omit the research gap section when key decisions rest on thin data — acting on low-confidence findings without flagging the gaps misleads product teams
Example Trigger Phrases
- "Combine our interviews, tickets and NPS into one view."
- "Reconcile what users say across these sources."
- "Synthesise these app reviews and sales calls."
- "Surface the underlying need behind these requests."
© mohitagw15856, 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/multi-source-signal-synthesiser of mohitagw15856/pm-claude-skills.
Open the folder on GitHubat commit 1cbf1f0
Compare with similar skills
Multi Source Signal Synthesiser 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 |
|---|---|---|---|---|---|---|
| Multi Source Signal Synthesiser this skillmohitagw15856/pm-claude-skills | 1.4k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Customer Supportaiskillstore/marketplace | 433 | 7 repos | ~2.2k | Automated safety check: Pass | None | |
| Afa Cxafadtc/afa-dtc-skills | 168 | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| User Feedback Aggregationrampstackco/claude-skills | 945 | — | ~5.2k | Automated safety check: Pass | MIT | |
| Sentiment Analyzerguia-matthieu/clawfu-skills | 150 | — | ~923 | Automated safety check: Pass | MIT | |
| Voice Of Customer Synthesizergooseworks-ai/goose-skills | 1.2k | 1 repos | ~2.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Multi Source Signal Synthesiser
What does Multi Source Signal Synthesiser do?
Synthesises user signals from multiple research sources into a unified, weighted insight brief. Multi Source Signal Synthesiser is an agent skill from mohitagw15856/pm-claude-skills. Synthesises user signals from multiple research sources into a unified, weighted insight brief.
When should I use Multi Source Signal Synthesiser?
Multi Source Signal Synthesiser fits situations like: you have data from interviews; support tickets; sales calls and need to reconcile contradictions; surface the underlying need behind requests.
How do I install Multi Source Signal Synthesiser in Claude Code?
Run `npx skills add mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser -a claude-code`. Or copy the skill folder (skills/multi-source-signal-synthesiser in mohitagw15856/pm-claude-skills) into .claude/skills/multi-source-signal-synthesiser in your project. Claude Code loads it when a task matches its description.
How do I install Multi Source Signal Synthesiser in Codex?
Run `npx skills add mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser -a codex`. Or copy the skill folder (skills/multi-source-signal-synthesiser in mohitagw15856/pm-claude-skills) into .agents/skills/multi-source-signal-synthesiser in your project. Codex loads it when a task matches its description.
Can I use Multi Source Signal Synthesiser 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 mohitagw15856/pm-claude-skills --skill multi-source-signal-synthesiser -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/multi-source-signal-synthesiser, .gemini/skills/multi-source-signal-synthesiser, .github/skills/multi-source-signal-synthesiser and .opencode/skills/multi-source-signal-synthesiser in your project.
What does Multi Source Signal Synthesiser need to run?
SKILL.md names no scripts, command-line tools or credentials: Multi Source Signal Synthesiser is instructions for the agent only.
Does Multi Source Signal Synthesiser 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 Multi Source Signal Synthesiser 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 Multi Source Signal Synthesiser use?
Multi Source Signal Synthesiser 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 Multi Source Signal Synthesiser use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Multi Source Signal Synthesiser?
Skills that share tags, products or a category with Multi Source Signal Synthesiser: Customer Support (aiskillstore/marketplace, 433 stars), Afa Cx (afadtc/afa-dtc-skills, 168 stars), User Feedback Aggregation (rampstackco/claude-skills, 945 stars) and Sentiment Analyzer (guia-matthieu/clawfu-skills, 150 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Multi Source Signal Synthesiser?
mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.
Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.