Read arXiv Paper
karpathy/nanochat
Fetches the TeX source of an arXiv paper from its URL, reads it and writes a markdown summary tied to the nanochat project.
Post-call cooperation skill. An agent skill from CALLE-AI/awesome-phone-call-agents.
Install Call Semantic Barge In Analyzer
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-semantic-barge-in-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-semantic-barge-in-analyzer --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/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/call-semantic-barge-in-analyzer .claude/skills/call-semantic-barge-in-analyzer && 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 "call-semantic-barge-in-analyzer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-semantic-barge-in-analyzer into .claude/skills/call-semantic-barge-in-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-semantic-barge-in-analyzer", 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/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-semantic-barge-in-analyzerType 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 CALLE-AI/awesome-phone-call-agents --skill call-semantic-barge-in-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-semantic-barge-in-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/call-semantic-barge-in-analyzer .agents/skills/call-semantic-barge-in-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "call-semantic-barge-in-analyzer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-semantic-barge-in-analyzer into .agents/skills/call-semantic-barge-in-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-semantic-barge-in-analyzer", 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 CALLE-AI/awesome-phone-call-agents --skill call-semantic-barge-in-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-semantic-barge-in-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/call-semantic-barge-in-analyzer .cursor/skills/call-semantic-barge-in-analyzer && 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 "call-semantic-barge-in-analyzer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-semantic-barge-in-analyzer into .cursor/skills/call-semantic-barge-in-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-semantic-barge-in-analyzer", 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/CALLE-AI/awesome-phone-call-agents.git --path skills/call-semantic-barge-in-analyzer--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 CALLE-AI/awesome-phone-call-agents --skill call-semantic-barge-in-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-semantic-barge-in-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/call-semantic-barge-in-analyzer .gemini/skills/call-semantic-barge-in-analyzer && 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 "call-semantic-barge-in-analyzer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-semantic-barge-in-analyzer into .gemini/skills/call-semantic-barge-in-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-semantic-barge-in-analyzer", 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 CALLE-AI/awesome-phone-call-agents call-semantic-barge-in-analyzerInstalls 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 CALLE-AI/awesome-phone-call-agents --skill call-semantic-barge-in-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/call-semantic-barge-in-analyzer .github/skills/call-semantic-barge-in-analyzer && 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 "call-semantic-barge-in-analyzer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-semantic-barge-in-analyzer into .github/skills/call-semantic-barge-in-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-semantic-barge-in-analyzer", 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 CALLE-AI/awesome-phone-call-agents --skill call-semantic-barge-in-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-semantic-barge-in-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/call-semantic-barge-in-analyzer .opencode/skills/call-semantic-barge-in-analyzer && 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 "call-semantic-barge-in-analyzer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-semantic-barge-in-analyzer into .opencode/skills/call-semantic-barge-in-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-semantic-barge-in-analyzer", 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
call-semantic-barge-in-analyzer- GitHub stars
- 107
- Token cost
- ~1.1k tokens
- SKILL.md length
- 454 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 101
- Repo updated
- First seen
- Licence
- MIT
At a glance
Post-call cooperation skill. An agent skill from CALLE-AI/awesome-phone-call-agents.
- Tasks that involve Academic paper search
- SKILL.md covers When To Use, When Not To Use, Workflow and Scientific Foundation, plus 1 more section
- Runs Python scripts from its folder; calls python3
- Tasks that involve Meeting notes and agendas
What it does
Call Semantic Barge In Analyzer is an agent skill from CALLE-AI/awesome-phone-call-agents. Post-call cooperation skill. Classifies callee turns in a CALL-E transcript as backchannels ("mm-hmm", "right, okay"), frustration barge-ins ("wait", "hold on", "slow down"), or substantive answers - disambiguating answers from backchannels via the preceding agent question - and computes pacing metrics including backchannel density and whether the agent shortened its turns after the first interruption. Returns a cooperation profile (ENGAGEDCOOPERATIVE / NEUTRAL / FRUSTRATEDINTERRUPTING / DISENGAGED) with a pacing…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/example-transcript-frustrated.json`, `references/example-transcript.json` and `references/examples.md`).
It sits in Research & Science, covering Academic paper search and Meeting notes and agendas. It works with arXiv. The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
When your agent uses it
- Tasks that involve Academic paper search
- Tasks that involve Meeting notes and agendas
Example prompts
- “mm-hmm”
- “right, okay”
- “hold on”
- “/call-semantic-barge-in-analyzer”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit 38d4118. 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
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3
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
Call Semantic Barge In Analyzer loads about 1.1k tokens when it runs, and up to ~3k if it reads all its reference files. Until then it costs about 198 tokens; SKILL.md has 454 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); the scripts in this folder are not scanned.
SKILL.md
The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 454 words, ~1,098 tokens.
Download SKILL.mdSave it as
.claude/skills/call-semantic-barge-in-analyzer/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- call-semantic-barge-in-analyzer
- description
- Post-call cooperation skill. Classifies callee turns in a CALL-E transcript as backchannels ("mm-hmm", "right, okay"), frustration barge-ins ("wait", "hold on", "slow down"), or substantive answers - disambiguating answers from backchannels via the preceding agent question - and computes pacing metrics including backchannel density and whether the agent shortened its turns after the first interruption. Returns a cooperation profile (ENGAGED_COOPERATIVE / NEUTRAL / FRUSTRATED_INTERRUPTING / DISENGAGED) with a pacing recommendation and a ready-to-use pacing goal for the next plan_call. Heuristic mode only, runs offline. Grounded in full-duplex turn-taking research (Moshi arXiv 2410.00037, DuplexGen arXiv 2607.26178), adapted to post-call transcripts.
- license
- MIT
call-semantic-barge-in-analyzer
Was the person on the other end with you, against you, or barely there?
call-review audits call compliance, including ignored stop requests.
This skill answers a different question: how cooperative was the callee,
and how should the NEXT call be paced? A callee who answers "Mm-hmm."
while you explain is with you; a callee who says "Wait, slow down." three
times is telling you your pacing failed - and the fix is a shorter-turn
script, not more repetition.
When To Use
- after any CALL-E call where the agent delivered multi-part information, to check whether the callee could keep up
- to decide whether the next call should use a pacing goal (short turns, explicit confirmation points)
- to generate that pacing goal for
plan_calldirectly
When Not To Use
- to audit compliance or ignored stop requests; use
call-review - to detect fraud; use
call-fraud-shield - during a call; CALL-E exposes transcripts, not live audio, so interruptions are read post-hoc from turn text, not from overlapping speech timing
- as a judgment about the person; profiles are pacing advice only and the card says so
Workflow
Analyze a finished call
python3 scripts/barge_in_analyzer.py analyze --transcript path/to/call-result.jsonReads the real get_call_run result shape ({status, result: {transcript}})
or the flat shape used by sibling skill fixtures. Emits a card:
cooperation_profile: ENGAGED_COOPERATIVE / NEUTRAL / FRUSTRATED_INTERRUPTING / DISENGAGEDmetrics: callee turn counts by class, backchannel density, average agent turn length, and whether the agent shortened its turns after the first barge-in (adaptation)evidence: turn index, masked span, classification for every backchannel and barge-inpacing_assessment: "unclear"with a reason when the callee never spokepacing_recommendation:shorten_turns(with the pacing goal text),maintain_pacing, orpause_and_confirm
Classification rules: a turn is a backchannel when it is at most 4 words of listening vocabulary after an agent STATEMENT; the same words answering a trailing agent QUESTION count as substantive answers. Bare "look" is deliberately not a barge-in marker (too many benign uses: "I will look into that").
Show full SKILL.md (139 more words)Show less
Craft the pacing goal
python3 scripts/barge_in_analyzer.py craft --scenario pacing-followup --language enEmits the plan_call inputs JSON whose goal is the same template the card
recommends on shorten_turns, so analysis and next call stay consistent.
Scientific Foundation
| Research | Relevance |
|---|---|
| Moshi: a speech-text foundation model for real-time dialogue (Kyutai, 2024, arXiv 2410.00037) | Full-duplex turn-taking with backchannels; this skill is the post-call, transcript-only approximation |
| DuplexGen: Adaptive Synthesis of Human-AI Turn-Taking Dialogues (2026, arXiv 2607.26178) | Turn-taking dialogue synthesis; motivates the backchannel-vs-barge-in distinction |
Both papers model real-time full-duplex behavior; CALL-E exposes
transcripts without timing, so this skill deliberately implements the
text-side approximation and labels every output analysis_mode: "heuristic".
Differences from sibling skills
call-reviewflags ignored stop requests (a compliance failure by the agent); this skill profiles callee cooperation and tunes pacing for the next call.call-verbal-irony-detectorreads what the callee meant versus what they said; this skill reads how they participated.
© CALLE-AI, 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 6 other files (scripts, references) in skills/call-semantic-barge-in-analyzer of CALLE-AI/awesome-phone-call-agents.
- SKILL.md
- references/example-transcript-frustrated.json
- references/example-transcript.json
- references/examples.md
- references/safety.md
- scripts/barge_in_analyzer.py
- scripts/test_barge_in_analyzer.py
Open the folder on GitHubat commit 38d4118
Compare with similar skills
Call Semantic Barge In Analyzer 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 |
|---|---|---|---|---|---|---|
| Call Semantic Barge In Analyzer this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Read arXiv Paperkarpathy/nanochat | 59k | 1 repos | ~494 | Automated safety check: Pass | MIT | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Openalex Databaseneflibata-feng/MyArxiv-Agent | 126 | 12 repos | ~3k | Automated safety check: Pass | Custom licence | |
| Citation ManagementK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.9k | Automated safety check: Notes | MIT | |
| Citation Managementneflibata-feng/MyArxiv-Agent | 126 | 19 repos | ~8.1k | Automated safety check: Notes | MIT |
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Openalex Database
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Query and analyze scholarly literature using the OpenAlex database.
Citation Management
K-Dense-AI/claude-scientific-writer
Finds papers in OpenAlex, PubMed and Google Scholar, turns DOIs, PMIDs and arXiv IDs into clean BibTeX, and validates citations for a manuscript or thesis.
Citation Management
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Comprehensive citation management for academic research. An agent skill from neflibata-feng/MyArxiv-Agent.
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Searches arXiv across many papers on one topic, extracts each paper's methodology and findings in parallel, and synthesizes a cited literature review.
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Related
Works with
Categories
Questions about Call Semantic Barge In Analyzer
What does Call Semantic Barge In Analyzer do?
Post-call cooperation skill. An agent skill from CALLE-AI/awesome-phone-call-agents. Call Semantic Barge In Analyzer is an agent skill from CALLE-AI/awesome-phone-call-agents. Post-call cooperation skill.
When should I use Call Semantic Barge In Analyzer?
Call Semantic Barge In Analyzer fits situations like: tasks that involve Academic paper search; tasks that involve Meeting notes and agendas.
How do I install Call Semantic Barge In Analyzer in Claude Code?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-semantic-barge-in-analyzer -a claude-code`. Or copy the skill folder (skills/call-semantic-barge-in-analyzer in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-semantic-barge-in-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Call Semantic Barge In Analyzer in Codex?
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-semantic-barge-in-analyzer -a codex`. Or copy the skill folder (skills/call-semantic-barge-in-analyzer in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-semantic-barge-in-analyzer in your project. Codex loads it when a task matches its description.
Can I use Call Semantic Barge In Analyzer 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 CALLE-AI/awesome-phone-call-agents --skill call-semantic-barge-in-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/call-semantic-barge-in-analyzer, .gemini/skills/call-semantic-barge-in-analyzer, .github/skills/call-semantic-barge-in-analyzer and .opencode/skills/call-semantic-barge-in-analyzer in your project.
What does Call Semantic Barge In Analyzer need to run?
Going by SKILL.md and its folder, Call Semantic Barge In Analyzer needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Call Semantic Barge In Analyzer 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 Call Semantic Barge In Analyzer 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Call Semantic Barge In Analyzer use?
Call Semantic Barge In Analyzer 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 Call Semantic Barge In Analyzer use?
About 1.1k tokens (SKILL.md is roughly 4.4k 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 1.9k tokens, read only when the agent opens those files.
What are the alternatives to Call Semantic Barge In Analyzer?
Skills that share tags, products or a category with Call Semantic Barge In Analyzer: Read arXiv Paper (karpathy/nanochat, 59k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Openalex Database (neflibata-feng/MyArxiv-Agent, 126 stars) and Citation Management (K-Dense-AI/claude-scientific-writer, 2.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Call Semantic Barge In Analyzer?
CALLE-AI (a GitHub organization) maintains it in CALLE-AI/awesome-phone-call-agents, which has 107 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on October 10, 2026.
Source: CALLE-AI/awesome-phone-call-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.