Paddle Build
PaddlePaddle/Paddle
A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.
High-Level Synthesis — C/C++ algorithm analysis, HLS directive optimisation, synthesis execution, and co-simulation verification.
$ npx skills add hdl-tools/digital-chip-design-agents --skill hls -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents hls --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/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/hls/skills/hls .claude/skills/hls && 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 "hls" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/hls/skills/hls into .claude/skills/hls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hls", 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/hdl-tools/digital-chip-design-agents/tree/master/plugins/hls/skills/hlsType 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 hdl-tools/digital-chip-design-agents --skill hls -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents hls --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/hls/skills/hls .agents/skills/hls && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "hls" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/hls/skills/hls into .agents/skills/hls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hls", 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 hdl-tools/digital-chip-design-agents --skill hls -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents hls --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/hls/skills/hls .cursor/skills/hls && 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 "hls" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/hls/skills/hls into .cursor/skills/hls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hls", 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/hdl-tools/digital-chip-design-agents.git --path plugins/hls/skills/hls--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 hdl-tools/digital-chip-design-agents --skill hls -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents hls --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/hls/skills/hls .gemini/skills/hls && 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 "hls" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/hls/skills/hls into .gemini/skills/hls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hls", 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 hdl-tools/digital-chip-design-agents hlsInstalls 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 hdl-tools/digital-chip-design-agents --skill hls -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/hls/skills/hls .github/skills/hls && 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 "hls" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/hls/skills/hls into .github/skills/hls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hls", 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 hdl-tools/digital-chip-design-agents --skill hls -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents hls --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/hls/skills/hls .opencode/skills/hls && 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 "hls" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/hls/skills/hls into .opencode/skills/hls/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "hls", 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.
hlsHigh-Level Synthesis — C/C++ algorithm analysis, HLS directive optimisation, synthesis execution, and co-simulation verification.
Hls is an agent skill from hdl-tools/digital-chip-design-agents. High-Level Synthesis — C/C++ algorithm analysis, HLS directive optimisation, synthesis execution, and co-simulation verification. Use when converting C/C++ to synthesisable RTL, optimising for latency/throughput/area targets using pragmas, or verifying that generated RTL matches the golden C model.
Its SKILL.md is about 2.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It works with C++. The repository describes itself as: Digital HDL Design Full-stack Agents. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38736b1. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are cpp and markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Hls loads about 2.8k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 1,180 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.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, BashAutomated 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.
The full file from hdl-tools/digital-chip-design-agents at commit 38736b1, republished under its MIT licence (© hdl-tools). 1,180 words, ~2,780 tokens.
.claude/skills/hls/SKILL.md (or your agent's skills folder).digital-chip-design-agents:hls-orchestrator agent and pass the full user
request and any available context. Do not execute stages directly.hls-orchestrator mid-flow: do not spawn a new agent.
Treat this file as read-only — return the requested stage rules, sign-off
criteria, or loop-back guidance to the calling orchestrator.Spawning the orchestrator from within an active orchestrator run causes recursive delegation and must never happen.
Before executing or advising on any stage, read the following files if they exist:
memory/hls/knowledge.md — known failure patterns, successful tool flags, PDK/tool quirks.
Incorporate its guidance into every stage decision. If absent, proceed without it.memory/hls/run_state.md — current run identity (run_id, design_name, tool,
last_stage). Use this to resume correctly after interruption. If absent, a new run
is starting; the orchestrator will create this file before the first stage.This pre-run read applies whether this skill is loaded by a user or called by the orchestrator mid-flow. It ensures the fix database is consulted before any diagnosis step.
Convert C/C++/SystemC algorithmic descriptions to synthesisable RTL. Covers algorithm analysis for HLS compatibility, pragma/directive optimisation, and co-simulation to verify RTL matches the golden C model.
bambu) — open-source HLS from Politecnico di Milanocirct-opt) — compiler infrastructure for hardware designvitis_hls, dialect xilinx) — C/C++ to RTL for AMD/Xilinx devicesstratus, dialect cadence) — SystemC/C++ HLS for ASIC and FPGAcatapult, dialect siemens) — algorithmic synthesis from C++/SystemCrestrict keyword or restructure accesses#ifndef __SYNTHESIS__ap_fixed<W,I> for Vitis HLS)#pragma HLS PIPELINE II=1 // Pipeline loop, target II=1
#pragma HLS DATAFLOW // Task-level pipelining
#pragma HLS LOOP_FLATTEN // Flatten nested loops
#pragma HLS LOOP_MERGE // Merge sequential loops#pragma HLS UNROLL factor=4 // Partial unroll (4 parallel copies)
#pragma HLS UNROLL // Full unroll (small trip counts only)#pragma HLS ARRAY_PARTITION variable=buf cyclic factor=4
#pragma HLS INTERFACE mode=axis port=data // AXI4-Stream
#pragma HLS INTERFACE mode=m_axi port=mem // AXI4 master
#pragma HLS INTERFACE mode=s_axilite port=ctrl // AXI4-Lite registers#pragma HLS BIND_OP op=mul impl=dsp // Force multiply to DSP
#pragma HLS ALLOCATION operation=mul limit=4 // Cap DSP count| Target | Primary Directives |
|---|---|
| Low latency | UNROLL + PIPELINE II=1 |
| High throughput | PIPELINE + DATAFLOW + ARRAY_PARTITION |
| Low area | ALLOCATION limits + no UNROLL |
| Balanced | PIPELINE II=1 inner loop + ARRAY_PARTITION |
design_state.constraints.hls.target_ii (one of target_ii or target_latency_cycles must be set; prefer target_ii if both — see Constraint Validation section)design_state.constraints.hls.target_latency_cycles cycles (one of target_ii or target_latency_cycles must be set)design_state.constraints.hls.target_ii (one of target_ii or target_latency_cycles must be set; prefer target_ii if both)design_state.constraints.hls.target_latency_cycles cycles (one of target_ii or target_latency_cycles must be set)lint_check ERROR and WARNING
levels. Generated RTL is linted for correctness — latches, multiple drivers, undriven
outputs, width truncation — not for the rtl-design naming and style rules, which a
generator will not follow; do not hand-edit generated RTL to satisfy themslang -Weverything --ignore-unknown-modules <files>); --lint-only skips elaboration and
reports zero latches on any input, so it can never fail this check| Failure | Fix |
|---|---|
| Output mismatch | Check fixed-point overflow; increase bit widths |
| AXI handshake error | Fix INTERFACE pragma configuration |
| Latency differs | Verify loop bounds are static |
| X propagation | Initialise all variables in C source |
design_state.constraints.hls.cosim_tolerance_pct% of HLS report (default: 5%)design_state.constraints.hls.target_ii (one of target_ii or target_latency_cycles must be set; prefer target_ii if both)design_state.constraints.hls.target_latency_cycles cycles (one of target_ii or target_latency_cycles must be set)design_state.constraints.hls.cosim_tolerance_pct% (default: 5%)See plugins/meta/skills/pipeline-orchestration/SKILL.md §Constraints Schema for the authoritative schema and stage-entry validation rule.
Required at entry (algorithm_analysis) — at least one must be non-null:
constraints.hls.target_ii — target initiation interval (one of target_ii or target_latency_cycles must be set; prefer target_ii if both)constraints.hls.target_latency_cycles — target latency in clock cycles (one of target_ii or target_latency_cycles must be set)Optional (schema defaults apply when absent):
constraints.hls.cosim_tolerance_pct (default: 5) — acceptable co-simulation latency deviation %constraints.clock.clk_mhz — target clock for synthesis (used if set; otherwise tool default)After each stage completes (regardless of whether an orchestrator session is active),
write or overwrite one JSON record in memory/hls/experiences.jsonl keyed by
run_id. This ensures data is persisted even if the flow is interrupted or called
without full orchestrator context.
Use run_id = hls_<YYYYMMDD>_<HHMMSS> (set once at flow start; reuse on each
stage update). Every JSON record written must include a top-level "run_id" field
whose value matches this key — this is what makes overwrites unambiguous. Set
signoff_achieved: false until the final sign-off stage completes.
Write memory/hls/run_state.md as the first action before launching any tool:
run_id: hls_<YYYYMMDD>_<HHMMSS>
design_name: <design>
tool: <primary tool>
start_time: <ISO-8601>
last_stage: <first stage name>Update last_stage after each stage completes. This file lets wakeup-loop prompts
and resumed sessions identify the correct run without relying on in-memory state.
Create the file and parent directories if they do not exist.
If mcp__plugin_ecc_memory__add_observations is available in this session, emit each
applied fix as an observation to entity chip-design-hls-fixes after writing to
experiences.jsonl. Skip silently if the tool is absent — JSONL is the canonical record.
© hdl-tools, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/hls/skills/hls of hdl-tools/digital-chip-design-agents.
Open the folder on GitHubat commit 38736b1
Hls 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 |
|---|---|---|---|---|---|---|
| Hls this skillhdl-tools/digital-chip-design-agents | 213 | — | ~2.8k | Automated safety check: Notes | MIT | |
| Paddle BuildPaddlePaddle/Paddle | 24k | — | ~1k | Automated safety check: Pass | Apache-2.0 | |
| Fory Releaseapache/fory | 4.6k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| ONNX Runtime Shape Inference Safety Auditmicrosoft/onnxruntime | 22k | — | ~3.3k | Automated safety check: Pass | MIT | |
| Code Audit3stoneBrother/code-audit | 892 | 1 repos | ~2.7k | Automated safety check: Pass | None | |
| Qt C++ Code Reviewx-tools-author/x-tools | 1.1k | 2 repos | ~4.3k | Automated safety check: Pass | BSD-3-Clause |
PaddlePaddle/Paddle
A skill your agent uses when needing to compile, rebuild, or install Paddle from source after code changes.
apache/fory
Prepare an Apache Fory release candidate from a clean release branch, including the version bump, RC tag, JVM staging, ASF source artifacts, SVN upload, and vote email.
microsoft/onnxruntime
Finds and fixes out-of-range output writes in ONNX Runtime operator shape-inference functions where a getNumOutputs guard admits too few outputs.
3stoneBrother/code-audit
Professional code security audit skill covering 55+ vulnerability types.
x-tools-author/x-tools
Read-only review of Qt6 C++ code that combines a deterministic lint script with six parallel analysis agents and reports only high-confidence issues.
doxygen/doxygen
Keeps all Doxygen and Doxywizard translations up to date across three mechanisms: translator C++ classes (src/translatorxx.h), Qt .ts locale files for the Doxywizard GUI (addon/doxywizard/i18n/)…
hdl-tools/digital-chip-design-agents
Microarchitecture exploration, PPA estimation, risk assessment, and architecture sign-off for digital chip design.
hdl-tools/digital-chip-design-agents
Compiler toolchain development for custom processor ISAs — LLVM/GCC backend, assembler, linker scripts, runtime libraries, and regression validation.
hdl-tools/digital-chip-design-agents
Design for Test — scan architecture planning, scan insertion, ATPG pattern generation, MBIST for embedded memories, and JTAG boundary scan.
hdl-tools/digital-chip-design-agents
Embedded firmware and device drivers — BSP development, peripheral driver implementation (UART, SPI, I2C, GPIO, DMA, Timer), RTOS integration (FreeRTOS, Zephyr), and system validation.
hdl-tools/digital-chip-design-agents
Formal property verification (FPV) and logical equivalence checking (LEC).
hdl-tools/digital-chip-design-agents
FPGA prototyping — ASIC-to-FPGA RTL adaptation, multi-FPGA partitioning, synthesis and timing closure on FPGA, hardware bring-up, and software validation on the prototype.
Works with
High-Level Synthesis — C/C++ algorithm analysis, HLS directive optimisation, synthesis execution, and co-simulation verification. Hls is an agent skill from hdl-tools/digital-chip-design-agents. High-Level Synthesis — C/C++ algorithm analysis, HLS directive optimisation, synthesis execution, and co-simulation verification.
Hls fits situations like: converting C/C++ to synthesisable RTL; optimising for latency/throughput/area targets using pragmas; verifying that generated RTL matches the golden C model.
Run `npx skills add hdl-tools/digital-chip-design-agents --skill hls -a claude-code`. Or copy the skill folder (plugins/hls/skills/hls in hdl-tools/digital-chip-design-agents) into .claude/skills/hls in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hdl-tools/digital-chip-design-agents --skill hls -a codex`. Or copy the skill folder (plugins/hls/skills/hls in hdl-tools/digital-chip-design-agents) into .agents/skills/hls in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add hdl-tools/digital-chip-design-agents --skill hls -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hls, .gemini/skills/hls, .github/skills/hls and .opencode/skills/hls in your project.
SKILL.md names no scripts, command-line tools or credentials: Hls is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Bash.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Hls is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.8k tokens (SKILL.md is roughly 11k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Hls: Paddle Build (PaddlePaddle/Paddle, 24k stars), Fory Release (apache/fory, 4.6k stars), ONNX Runtime Shape Inference Safety Audit (microsoft/onnxruntime, 22k stars) and Code Audit (3stoneBrother/code-audit, 892 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hdl-tools (a GitHub organization) maintains it in hdl-tools/digital-chip-design-agents, which has 213 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 3, 2026.
Source: hdl-tools/digital-chip-design-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.